<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="brief-report">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2022.939128</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>One Social Media, Distinct Habitus: Generation Z&#x00027;s Social Media Uses and Gratifications and the Moderation Effect of Economic Capital</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Hu</surname> <given-names>Qingqing</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1737117/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hu</surname> <given-names>Xue</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Hou</surname> <given-names>Pan</given-names></name>
</contrib>
</contrib-group>
<aff><institution>School of Journalism and Communication, Northwest University</institution>, <addr-line>Xi&#x00027;an</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Dan-Cristian Dabija, Babe&#x0015F;-Bolyai University, Romania</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Faiswal Kasirye, International Islamic University, Malaysia; Aurel Pera, University of Craiova, Romania</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Qingqing Hu <email>palsimonhu&#x00040;gmail.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Personality and Social Psychology, a section of the journal Frontiers in Psychology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>07</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>939128</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>05</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>06</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Hu, Hu and Hou.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Hu, Hu and Hou</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p>This study aims at contributing to literature by investigating characteristics of Generation Z&#x00027;s social media uses and gratifications and the moderation effect of economic capital. Specifically, we employed online survey as the main research method to examine the connections between the young generation cohort&#x00027;s online motivations, social media practices, and economic capital. A total of 221 Chinese Generation Z social media users were recruited in the survey. Results indicated that (1) Generation Zs have different social media engagements depending on whether they were connected for daily routine alternatives or socialization; (2) the young cohorts from upper-mid-income families demonstrated a more instrumental-rational habitus to use social media more frequently as a communicative tool than those from low-income families; and (3) motivations and family income interacted to influence Generation Z&#x00027;s social media practices (e.g., social capital accumulating and exchanging and self-expression). Findings here provide empirical reference to deepened understandings of the interactions between social media and digital generations, and their connections with digital social inequalities.</p></abstract>
<kwd-group>
<kwd>generation Z</kwd>
<kwd>social media</kwd>
<kwd>uses and gratifications</kwd>
<kwd>economic capital</kwd>
<kwd>habitus</kwd>
</kwd-group>
<contract-num rid="cn001">19BXW060</contract-num>
<contract-sponsor id="cn001">National Social Science Fund of China<named-content content-type="fundref-id">10.13039/501100012456</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="49"/>
<page-count count="5"/>
<word-count count="3597"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Generation Z (Gen-Z) refers to people born between the mid-1990&#x00027;s and 2009, who grew up with the digital society and view digital technologies as the foundation of their lives (Turner, <xref ref-type="bibr" rid="B41">2015</xref>; Dimock, <xref ref-type="bibr" rid="B16">2019</xref>). Gen-Z belongs to a larger social media user population that has been conceptualized as the digital natives (Prensky, <xref ref-type="bibr" rid="B36">2001</xref>). Digital natives were born and raised in the digital age, and they spend most of their lives surrounded by and using computers, video games, cell phones, and all the other toys and tools of the digital age (Prensky, <xref ref-type="bibr" rid="B36">2001</xref>). While the rationality of the conceptualization of digital natives is still in debate, a growing number of research has indicated that the younger generations significantly differ from their predecessors in terms of technology-related perceptions, motivations, and behaviors (Hargittai, <xref ref-type="bibr" rid="B20">2010</xref>; Curtis et al., <xref ref-type="bibr" rid="B11">2019</xref>; Hu and Cheong, <xref ref-type="bibr" rid="B22">2021</xref>).</p>
<p>China has &#x0007E;300 million Gen-Z and 30 million Gen-Alpha (i.e., those born in 2010&#x02013;2024) Internet users, constituting 1/3 of China&#x00027;s Internet user population (China Internet Network Information Center, <xref ref-type="bibr" rid="B9">2021</xref>). Most (99.2%) of China&#x00027;s internet users are also social media users, and about 1/4 of them spend more than 4 h/day on WeChat, one of China&#x00027;s most popular social media (An, <xref ref-type="bibr" rid="B2">2021</xref>; China Internet Network Information Center, <xref ref-type="bibr" rid="B9">2021</xref>). Previous studies have discussed from multiple perspectives the predictors, characteristics, mechanisms, and consequences of the social media-user interactions in China (e.g., Sullivan, <xref ref-type="bibr" rid="B40">2012</xref>; Wang et al., <xref ref-type="bibr" rid="B47">2015</xref>; Chen et al., <xref ref-type="bibr" rid="B6">2016</xref>; Gan et al., <xref ref-type="bibr" rid="B17">2017</xref>; Li et al., <xref ref-type="bibr" rid="B27">2019</xref>). However, what has been relatively understudied is the extent to which Chinese Gen-Zs&#x00027; social media habitus are associated with their characteristics as being digital natives, as well as how their social media engagements are associated with digital social inequalities (Gentina, <xref ref-type="bibr" rid="B18">2020</xref>; Hu and Cheong, <xref ref-type="bibr" rid="B22">2021</xref>). In this study, therefore, the main objective is to fill these gaps by examining the characteristics of and differences in social media habitus among Chinese Gen-Z users, as well as exploring how their social media uses and gratifications are associated with economic capital using the Bourdieusian approach (Ignatow and Robinson, <xref ref-type="bibr" rid="B23">2017</xref>; Calderon Gomez, <xref ref-type="bibr" rid="B5">2021</xref>).</p>
</sec>
<sec id="s2">
<title>Literature Review</title>
<p>One influential theoretical framework to approach the social media-user interactions is the uses and gratifications theory (U&#x00026;G), which highlights the importance of individuals&#x00027; social and psychological needs in shaping their motivations and, consequently, their communicative behaviors (Katz et al., <xref ref-type="bibr" rid="B24">1973</xref>; Rubin, <xref ref-type="bibr" rid="B38">1994</xref>; Papacharissi and Rubin, <xref ref-type="bibr" rid="B33">2000</xref>; Abbas and Mesch, <xref ref-type="bibr" rid="B1">2015</xref>). On one hand, previous studies indicated that Gen-Zs differ from their predecessors in many aspects of online motivations, such as being more desired for self-expressing and self-disclosing, online shopping, online enjoyment, memetic engagements, content-generating, and sustainable online behaviors (Hargittai, <xref ref-type="bibr" rid="B20">2010</xref>; Turner, <xref ref-type="bibr" rid="B41">2015</xref>; PrakashYadav and Rai, <xref ref-type="bibr" rid="B35">2017</xref>; Dabija and Lung, <xref ref-type="bibr" rid="B13">2018</xref>; Dabija and B&#x001CE;bu&#x00163;, <xref ref-type="bibr" rid="B12">2019</xref>; Vi&#x00163;elar, <xref ref-type="bibr" rid="B46">2019</xref>; Andronie et al., <xref ref-type="bibr" rid="B3">2021</xref>; Hu and Cheong, <xref ref-type="bibr" rid="B22">2021</xref>; Musova et al., <xref ref-type="bibr" rid="B30">2021</xref>; V&#x001CE;t&#x001CE;m&#x001CE;nescu et al., <xref ref-type="bibr" rid="B45">2021</xref>). On the other hand, the extent to which social media uses can satisfy Gen-Zs&#x00027; online motivations depends on their affordances. Social media affordances keep evolving with the development of the technologies and the industry, shifting from a focus on networked communication to the scope of online sociality (Boyd and Ellison, <xref ref-type="bibr" rid="B4">2007</xref>; Zhang and Pentina, <xref ref-type="bibr" rid="B48">2012</xref>; Van Dijck, <xref ref-type="bibr" rid="B42">2013</xref>; Choi et al., <xref ref-type="bibr" rid="B10">2020</xref>). There have been discussions on how socialization, as a pivotal social media affordance, plays an important role in satisfying some of Gen-Zs&#x00027; online motivations (e.g., enhancing social influence and increasing social capital, Shane-Simpson et al., <xref ref-type="bibr" rid="B39">2018</xref>; Andronie et al., <xref ref-type="bibr" rid="B3">2021</xref>). In this study, we will contribute to the discussions by exploring how Gen-Zs&#x00027; social media uses, including both socialization and beyond, connect with their online motivations in the Chinese context. Therefore, we propose our first research question.</p>
<p><italic>RQ</italic><sub>1</sub>: What are the relationships between Chinese Gen-Zs&#x00027; online motivations and social media uses?</p>
<p>Previous studies indicated that individuals&#x00027; technological engagements are associated with inequalities in their social, economic, and cultural status and life opportunities (Norris, <xref ref-type="bibr" rid="B32">2001</xref>; DiMaggio et al., <xref ref-type="bibr" rid="B15">2004</xref>; Van Dijk, <xref ref-type="bibr" rid="B43">2006</xref>; Zillien and Hargittai, <xref ref-type="bibr" rid="B49">2009</xref>; Mossberger et al., <xref ref-type="bibr" rid="B29">2012</xref>). In light of the limitations of a functionalist perspective to studying digital social inequalities, scholars introduced the Bourdieusian approach that views technological engagements as occurring in social spaces made up of interrelated fields constraining and shaping each other, with distinctive user habitus and capital (Halford and Savage, <xref ref-type="bibr" rid="B19">2010</xref>; Ignatow and Robinson, <xref ref-type="bibr" rid="B23">2017</xref>; Hu and Cheong, <xref ref-type="bibr" rid="B22">2021</xref>). According to Bourdieu (1984, 1986), habitus is a set of dispositions that structures individuals&#x00027; practices, and capital refers to socially valued assets (e.g., economic wealth, social relations, and cultural resources) that can influence individuals&#x00027; status in the system through accumulating and exchanging.</p>
<p>The conceptualizations of habitus and capital contribute to deepened understandings of Gen-Zs&#x00027; social media uses and gratifications. Social media habitus serves as an embodiment of the interactions between Gen-Zs and their situated socioeconomic context, and it shapes and repeatedly magnifies user disparities in social media practices through machine learning and algorithms (Hu and Cheong, <xref ref-type="bibr" rid="B22">2021</xref>; Hopkins, <xref ref-type="bibr" rid="B21">2022</xref>; Kliestik et al., <xref ref-type="bibr" rid="B25">2022a</xref>,<xref ref-type="bibr" rid="B26">b</xref>; Nica et al., <xref ref-type="bibr" rid="B31">2022</xref>). Capital is another key to understanding the predictors and consequences of Gen-Zs&#x00027; social media practices (Ignatow and Robinson, <xref ref-type="bibr" rid="B23">2017</xref>; Calderon Gomez, <xref ref-type="bibr" rid="B5">2021</xref>). Previous research showed significant correlations between economic capital and technology-related habitus, which further connect with digital social inequalities (e.g., Robinson, <xref ref-type="bibr" rid="B37">2009</xref>). As for Gen-Z, there is still insufficient knowledge to unpack how the youth from low- and upper-mid-income families would differ in terms of their preference of social media practices, and how economic capital can moderate their social media uses and gratifications. Hence, we propose the second and third research questions.</p>
<p><italic>RQ</italic><sub>2</sub>: What are the differences in social media practices between Gen-Zs from low- and upper-mid-income families?</p>
<p><italic>RQ</italic><sub>3</sub>: How does economic capital moderate Gen-Zs&#x00027; social media uses and gratifications?</p>
</sec>
<sec sec-type="methods" id="s3">
<title>Methods</title>
<sec>
<title>Procedures and Participants</title>
<p>This study employed an online survey for data collection. The questionnaire was adapted from literature and revised based on several pilot studies (van Teijlingen and Hundley, <xref ref-type="bibr" rid="B44">2002</xref>). Participants were students from a large public university in Southwestern China. Participants consisted of 221 Chinese Gen-Z social media users (male = 89, female = 132), and aged between 20 and 24 (<italic>M</italic> = 22.29, <italic>SD</italic> = 1.13). Annual family income was coded as low (<italic>n</italic> = 96, 43.4%) and upper-mid (<italic>n</italic> = 125, 56.6%) using &#x000A5;50,001&#x02013;&#x000A5;100,000 (&#x02248;$7,455&#x02013;$14,910) as the threshold (China Bureau of Statistics, <xref ref-type="bibr" rid="B7">2018</xref>).</p>
</sec>
<sec>
<title>Measurements</title>
<sec>
<title>Online Motivations</title>
<p>Ten items were adapted from literature (e.g., Papacharissi and Rubin, <xref ref-type="bibr" rid="B33">2000</xref>; Liu and Li, <xref ref-type="bibr" rid="B28">2010</xref>; Turner, <xref ref-type="bibr" rid="B41">2015</xref>; China Internet Network Information Center, <xref ref-type="bibr" rid="B8">2017</xref>; Andronie et al., <xref ref-type="bibr" rid="B3">2021</xref>), and were measured on a 5-point Likert scale (1 = &#x0201C;strongly disagree,&#x0201D; 5 = &#x0201C;strongly agree&#x0201D;). A principal component factor analysis identified two dimensions of the motivations (53% explained variance). Daily routine alternatives were motivations regarding gaining information (0.83), entertainment (0.80), online shopping (0.61), and doing school- and work-related things (0.70); socialization included seeking help (0.78), sharing with others (0.62), developing/maintaining relationships (0.60), and self-promotion (0.74).</p>
</sec>
<sec>
<title>Social Media Use</title>
<p>Nineteen items (1&#x02013;7, 1 = never, 7 = more than three times a day) measured how frequent participants engaged in social media activities. A principal component factor analysis constructed four dimensions (60% explained variance): networked communication (NC) included checking updates (0.76), liking/commenting (0.78), communicating with others (0.67), and checking group-discussion records (0.62); social capital accumulating and exchanging (SCAE) included asking for help (0.74), supporting others (0.77), self-promotion (0.62), and obtaining self-beneficial information (0.63); self-expression (SE) included posting updates (0.69), sharing selfies (0.80), and self-expressing (0.67); news watching (NW) included watching news <italic>via</italic> social media (0.84).</p>
</sec>
<sec>
<title>Demographics</title>
<p>Participants&#x00027; age, gender, education background, urbanness, and annual family income were collected.</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s4">
<title>Results</title>
<p>For <italic>RQ</italic><sub>1</sub>, we used SEM to explore the relationships between Gen-Zs&#x00027; online motivations and social media uses, with demographics as covariates. A bootstrapping technique with 5,000 replicates was performed to achieve generalizability beyond the sample. Results indicated that the daily routine alternatives motivation significantly predicted NC and NW, and the socialization motivation was associated with SCAE and SE on social media (see <xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>The full model with standardized estimates. &#x0002A;<italic>p</italic> &#x0003C; 0.05. &#x0002A;&#x0002A;&#x0002A;<italic>p</italic> &#x0003C; 0.001. The solid line represents significant effects. Ninety-five percent confidence intervals are reported within brackets. Model fit statistics: &#x003C7;<sup>2</sup> = 0.16, <italic>df</italic> = 1, <italic>p</italic> = 0.69, CFI = 1.00, TLI = 1.09, RFI = 0.99, NFI = 1.00, RMSEA = 0.00.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-939128-g0001.tif"/>
</fig>
<p>For <italic>RQ</italic><sub>2</sub>, significant differences in social media practices were observed between low- and upper-mid-income families, when controlling for age, gender, and education background. Gen-Zs from upper-mid-income families used social media for more NC [<italic>F</italic><sub>(1,216)</sub> = 17.78, <italic>p</italic> &#x0003C; 0.001] and NW [<italic>F</italic><sub>(1,216)</sub> = 5.01, <italic>p</italic> &#x0003C; 0.05] than those from low-income families, whereas two groups did not significantly differ in SCAE and SE on social media.</p>
<p>Regarding, <italic>RQ</italic><sub>3</sub>, several hierarchical regressions (block 1 = covariates; block 2 = motivations and income, block 3 = interaction effects) were conducted. For Gen-Zs with the daily routine alternatives motivation, income significantly moderated NC, <italic>B</italic> = &#x02212;0.23, &#x003B2; = &#x02212;1.12, <italic>t</italic> = &#x02212;2.67, <italic>p</italic> &#x0003C; 0.01. For those driven by the socialization motivation, income significantly moderated SCAE (<italic>B</italic> = 0.29, &#x003B2; = 1.26, <italic>t</italic> = 3.12, <italic>p</italic> &#x0003C; 0.01) and SE (<italic>B</italic> = 0.17, &#x003B2; =0.81, <italic>t</italic> = 1.93, <italic>p</italic> &#x0003C; 0.05). We used Dawson and Richter&#x00027;s (<xref ref-type="bibr" rid="B14">2006</xref>) approach to probe the interaction effects. As daily routine alternatives motivation became stronger, the low-income participants had a greater increase of their NC on social media (from 4.91 to 5.91) than those with upper-mid-income (from 5.80 to 6.13). When socialization motivation was low, Gen-Zs with more economic capital showed less SCAE (<italic>M</italic><sub><italic>low</italic></sub> = 6.00, <italic>M</italic><sub><italic>upper</italic>&#x02212;<italic>mid</italic></sub> = 5.69) and SE (<italic>M</italic><sub><italic>low</italic></sub> = 4.32, <italic>M</italic><sub><italic>upper</italic>&#x02212;<italic>mid</italic></sub> = 4.23) than those from low-income families; whereas when the richer were strongly motivated to socialize online, they would surpass the poorer in both social media practices (SCAE: <italic>M</italic><sub><italic>low</italic></sub> = 6.23, <italic>M</italic><sub><italic>upper</italic>&#x02212;<italic>mid</italic></sub> = 6.78; SE: <italic>M</italic><sub><italic>low</italic></sub> = 4.69, <italic>M</italic><sub><italic>upper</italic>&#x02212;<italic>mid</italic></sub> = 5.15).</p>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<p>Results indicated that Chinese Gen-Zs have different social media uses depending on two categories of online motivations: social media as communicative tools and news portals when they are doing their daily routines online; and as platforms for social capital accumulating and exchanging and self-expression during online socialization. The findings are consistent with and extending literature on characteristics of digital natives (e.g., Turner, <xref ref-type="bibr" rid="B41">2015</xref>; Vi&#x00163;elar, <xref ref-type="bibr" rid="B46">2019</xref>) and indicate different social media uses based on different scenarios. Furthermore, compared to other U&#x00026;G studies on social media usage (e.g., Turner, <xref ref-type="bibr" rid="B41">2015</xref>; PrakashYadav and Rai, <xref ref-type="bibr" rid="B35">2017</xref>), our results highlighted an emphasis on social capital throughout social media uses and gratifications, and the integration of social media into daily routines by Chinese Gen-Zs.</p>
<p>Another contribution of this study is that we employed Bourdieusian approach to explore how economic capital influences Gen-Zs&#x00027; social media uses and gratifications. We observed distinct social media habitus between Gen-Zs from low- and upper-mid-income families: the latter embrace a more instrumental-rational habitus to use social media more frequently as a communicative tool; whereas the former value the importance of online socialization to increase their social capital, but have no more practices in related social media activities. Finally, Gen-Zs from upper-mid-income families take a more conservative stance in SCAE and SE when their socialization motivation is low. This finding is consistent with the literature (e.g., Robinson, <xref ref-type="bibr" rid="B37">2009</xref>; Perrin, <xref ref-type="bibr" rid="B34">2015</xref>) that a higher income is not necessarily associated with more frequent social media practices.</p>
</sec>
<sec sec-type="conclusions" id="s6">
<title>Conclusion</title>
<p>In this study, we examined Chinese Gen-Zs&#x00027; social media uses and gratifications and found: (1) daily routine alternatives motivation predicts NC and NW, and socialization motivation is associated with SCAE and SE; (2) Gen-Zs from upper-mid-income families employ a more instrumental-rational habitus to use social media as a communicative tool than those from low-income families; (3) Gen-Zs with higher economic capital tend to be more conservative in SCAE and SE when socialization motivation is low. Applying the Bourdieusian approach to U&#x00026;G studies, this study highlighted the importance of economic capital in Gen-Z&#x00027;s social media practices: it helps formulate distinct social media habitus that may be repeatedly consolidated by machine learning and algorithms, as well as influences social capital accumulating and exchanging; both may lead to more digital social inequalities among Gen-Zs. Despite the limitations (e.g., sample representativity, inclusiveness of motivations and uses), our findings shed light on future studies on connections between economic capital, social media U&#x00026;G, and digital social inequalities among and across digital generations.</p>
</sec>
<sec sec-type="data-availability" id="s7">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>QH was in charge of collecting data and writing manuscript. XH did data analysis and reference check. PH did results report and figure. All authors contributed toward the manuscript.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This work was funded by National Social Science Funding of China, Number: 19BXW060.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Abbas</surname> <given-names>R.</given-names></name> <name><surname>Mesch</surname> <given-names>G. S.</given-names></name></person-group> (<year>2015</year>). <article-title>Cultural values and Facebook use among Palestinian youth in Israel</article-title>. <source>Comput. Hum. Behav.</source> <volume>48</volume>, <fpage>644</fpage>&#x02013;<lpage>653</lpage>. <pub-id pub-id-type="doi">10.1016/j.chb.2015.02.031</pub-id></citation>
</ref>
<ref id="B2">
<citation citation-type="book"><person-group person-group-type="author"><name><surname>An</surname> <given-names>S.</given-names></name></person-group> (<year>2021</year>). <article-title>China Social Media User Behavior Report</article-title>, in <source>China New Media Development Report</source>, eds <person-group person-group-type="editor"><name><surname>Tang</surname> <given-names>X.</given-names></name> <name><surname>Huang</surname> <given-names>C.</given-names></name></person-group> (<publisher-loc>Beijing</publisher-loc>: <publisher-name>Social Science Academic Press</publisher-name>), <fpage>244</fpage>&#x02013;<lpage>260</lpage>.</citation>
</ref>
<ref id="B3">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Andronie</surname> <given-names>M.</given-names></name> <name><surname>L&#x001CE;z&#x001CE;roiu</surname> <given-names>G.</given-names></name> <name><surname>&#x0015E;tef&#x000E3;nescu</surname> <given-names>R.</given-names></name> <name><surname>Ionescu</surname> <given-names>L.</given-names></name> <name><surname>Coco&#x0015F;atu</surname> <given-names>M.</given-names></name></person-group> (<year>2021</year>). <article-title>Neuromanagement decision-making and cognitive algorithmic processes in the technological adoption of mobile commerce apps</article-title>. <source>Oecon. Copernic.</source> <volume>12</volume>, <fpage>1033</fpage>&#x02013;<lpage>1062</lpage>. <pub-id pub-id-type="doi">10.24136/oc.2021.034</pub-id></citation>
</ref>
<ref id="B4">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Boyd</surname> <given-names>D. M.</given-names></name> <name><surname>Ellison</surname> <given-names>N. B.</given-names></name></person-group> (<year>2007</year>). <article-title>Social network sites: definition, history, and scholarship</article-title>. <source>J. Comput. Med. Commun.</source> <volume>13</volume>, <fpage>210</fpage>&#x02013;<lpage>230</lpage>. <pub-id pub-id-type="doi">10.1111/j.1083-6101.2007.00393.x</pub-id></citation>
</ref>
<ref id="B5">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Calderon Gomez</surname> <given-names>D.</given-names></name></person-group> (<year>2021</year>). <article-title>The third digital divide and Bourdieu: bidirectional conversion of economic, cultural, and social capital to (and from) digital capital among young people in Madrid</article-title>. <source>New Media Soc.</source> <volume>23</volume>, <fpage>2534</fpage>&#x02013;<lpage>2553</lpage>. <pub-id pub-id-type="doi">10.1177/1461444820933252</pub-id></citation>
</ref>
<ref id="B6">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>H. T.</given-names></name> <name><surname>Chan</surname> <given-names>M.</given-names></name> <name><surname>Lee</surname> <given-names>F. L.</given-names></name></person-group> (<year>2016</year>). <article-title>Social media use and democratic engagement: a comparative study of Hong Kong, Taiwan, and China</article-title>. <source>Chin. J. Commun.</source> <volume>9</volume>, <fpage>348</fpage>&#x02013;<lpage>366</lpage>. <pub-id pub-id-type="doi">10.1080/17544750.2016.1210182</pub-id></citation>
</ref>
<ref id="B7">
<citation citation-type="web"><person-group person-group-type="author"><collab>China Bureau of Statistics</collab></person-group> (<year>2018</year>). <source>Annual Report</source>. Available online at: <ext-link ext-link-type="uri" xlink:href="https://data.stats.gov.cn/easyquery.htm?cn=C01">https://data.stats.gov.cn/easyquery.htm?cn=C01</ext-link> (accessed March 25, 2022).</citation>
</ref>
<ref id="B8">
<citation citation-type="web"><person-group person-group-type="author"><collab>China Internet Network Information Center</collab></person-group> (<year>2017</year>). <source>Proceedings of the 2016 China Social Media and User Behavior Report</source>. Available online at: <ext-link ext-link-type="uri" xlink:href="http://www.cnnic.cn/hlwfzyj/hlwxzbg/sqbg/201604/P020160722551429454480.pdf">http://www.cnnic.cn/hlwfzyj/hlwxzbg/sqbg/201604/P020160722551429454480.pdf</ext-link> (accessed March 25, 2022).</citation>
</ref>
<ref id="B9">
<citation citation-type="web"><person-group person-group-type="author"><collab>China Internet Network Information Center</collab></person-group> (<year>2021</year>). <source>The 48th Internet Report</source>. Available online at: <ext-link ext-link-type="uri" xlink:href="http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/202102/P020210203334633480104.pdf">http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/202102/P020210203334633480104.pdf</ext-link> (accessed March 25, 2022).</citation>
</ref>
<ref id="B10">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Choi</surname> <given-names>S.</given-names></name> <name><surname>Williams</surname> <given-names>D.</given-names></name> <name><surname>Kim</surname> <given-names>H.</given-names></name></person-group> (<year>2020</year>). <article-title>A snap of your true self: how self-presentation and temporal affordance influence self-concept on social media</article-title>. <source>New Media Soc.</source> <volume>2020</volume>:<fpage>1461444820977199</fpage>. <pub-id pub-id-type="doi">10.1177/1461444820977199</pub-id></citation>
</ref>
<ref id="B11">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Curtis</surname> <given-names>B. L.</given-names></name> <name><surname>Ashford</surname> <given-names>R. D.</given-names></name> <name><surname>Magnuson</surname> <given-names>K. I.</given-names></name> <name><surname>Ryan-Pettes</surname> <given-names>S. R.</given-names></name></person-group> (<year>2019</year>). <article-title>Comparison of smartphone ownership, social media use, and willingness to use digital interventions between generation z and millennials in the treatment of substance use: cross-sectional questionnaire study</article-title>. <source>J. Med. Internet Res.</source> <volume>21</volume>:<fpage>e13050</fpage>. <pub-id pub-id-type="doi">10.2196/13050</pub-id><pub-id pub-id-type="pmid">30994464</pub-id></citation></ref>
<ref id="B12">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dabija</surname> <given-names>D. C.</given-names></name> <name><surname>B&#x001CE;bu&#x00163;</surname> <given-names>R.</given-names></name></person-group> (<year>2019</year>). <article-title>Enhancing apparel store patronage through retailers&#x00027; attributes and sustainability. A generational approach</article-title>. <source>Sustainability</source> <volume>11</volume>:<fpage>4532</fpage>. <pub-id pub-id-type="doi">10.3390/su11174532</pub-id></citation>
</ref>
<ref id="B13">
<citation citation-type="book"><person-group person-group-type="author"><name><surname>Dabija</surname> <given-names>D. C.</given-names></name> <name><surname>Lung</surname> <given-names>L.</given-names></name></person-group> (<year>2018</year>). <article-title>Millennials versus Gen Z: online shopping behaviour in an emerging market</article-title>, in <source>Griffiths School of Management and IT Annual Conference on Business, Entrepreneurship and Ethics</source>, eds <person-group person-group-type="editor"><name><surname>V&#x001CE;duva</surname> <given-names>S.</given-names></name> <name><surname>Fotea</surname> <given-names>I.</given-names></name> <name><surname>V&#x001CE;duva</surname> <given-names>L.</given-names></name> <name><surname>Wilt</surname> <given-names>R.</given-names></name></person-group> (<publisher-loc>Cham</publisher-loc>: <publisher-name>Springer</publisher-name>), <fpage>1</fpage>&#x02013;<lpage>18</lpage>. <pub-id pub-id-type="doi">10.1007/978-3-030-17215-2_1</pub-id></citation>
</ref>
<ref id="B14">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dawson</surname> <given-names>J. F.</given-names></name> <name><surname>Richter</surname> <given-names>A. W.</given-names></name></person-group> (<year>2006</year>). <article-title>Probing three-way interactions in moderated multiple regression: development and application of a slope difference test</article-title>. <source>J. Appl. Psychol.</source> <volume>91</volume>, <fpage>917</fpage>&#x02013;<lpage>926</lpage>. <pub-id pub-id-type="doi">10.1037/0021-9010.91.4.917</pub-id><pub-id pub-id-type="pmid">16834514</pub-id></citation></ref>
<ref id="B15">
<citation citation-type="book"><person-group person-group-type="author"><name><surname>DiMaggio</surname> <given-names>P.</given-names></name> <name><surname>Hargittai</surname> <given-names>E.</given-names></name> <name><surname>Celeste</surname> <given-names>C.</given-names></name> <name><surname>Shafer</surname> <given-names>S.</given-names></name></person-group> (<year>2004</year>). <article-title>Digital inequality: from unequal access to differentiated use</article-title>, in <source>Social Inequality</source>, eds <person-group person-group-type="editor"><name><surname>Neckerman</surname> <given-names>K.</given-names></name></person-group> (<publisher-loc>New York, NY</publisher-loc>: <publisher-name>Russell Sage Foundation</publisher-name>), <fpage>355</fpage>&#x02013;<lpage>400</lpage>.</citation>
</ref>
<ref id="B16">
<citation citation-type="web"><person-group person-group-type="author"><name><surname>Dimock</surname> <given-names>M.</given-names></name></person-group> (<year>2019</year>). <article-title>Defining generations: where millennials end and generation Z begins</article-title>. <source>Pew Res. Center</source> <volume>17</volume>, <fpage>1</fpage>&#x02013;<lpage>7</lpage>. Available online at: <ext-link ext-link-type="uri" xlink:href="http://tony-silva.com/eslefl/miscstudent/downloadpagearticles/defgenerations-pew.pdf">http://tony-silva.com/eslefl/miscstudent/downloadpagearticles/defgenerations-pew.pdf</ext-link> (accessed March 25, 2022).</citation>
</ref>
<ref id="B17">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gan</surname> <given-names>C.</given-names></name> <name><surname>Lee</surname> <given-names>F. L.</given-names></name> <name><surname>Li</surname> <given-names>Y.</given-names></name></person-group> (<year>2017</year>). <article-title>Social media use, political affect, and participation among university students in urban China</article-title>. <source>Telemat. Inform.</source> <volume>34</volume>, <fpage>936</fpage>&#x02013;<lpage>947</lpage>. <pub-id pub-id-type="doi">10.1016/j.tele.2017.04.002</pub-id></citation>
</ref>
<ref id="B18">
<citation citation-type="book"><person-group person-group-type="author"><name><surname>Gentina</surname> <given-names>E.</given-names></name></person-group> (<year>2020</year>). <article-title>Generation Z in Asia: a research agenda</article-title>, in <source>The New Generation Z in Asia: Dynamics, Differences, Digitalisation</source>, eds <person-group person-group-type="editor"><name><surname>Gentina</surname> <given-names>E.</given-names></name> <name><surname>Parry</surname> <given-names>E.</given-names></name></person-group> (<publisher-loc>Bingley</publisher-loc>: <publisher-name>Emerald Publishing Limited</publisher-name>), <fpage>3</fpage>&#x02013;<lpage>19</lpage>. <pub-id pub-id-type="doi">10.1108/978-1-80043-220-820201002</pub-id></citation>
</ref>
<ref id="B19">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Halford</surname> <given-names>S.</given-names></name> <name><surname>Savage</surname> <given-names>M.</given-names></name></person-group> (<year>2010</year>). <article-title>Reconceptualizing digital social inequality</article-title>. <source>Infm. Commun. Soc.</source> <volume>13</volume>, <fpage>937</fpage>&#x02013;<lpage>955</lpage>. <pub-id pub-id-type="doi">10.1080/1369118X.2010.499956</pub-id></citation>
</ref>
<ref id="B20">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hargittai</surname> <given-names>E.</given-names></name></person-group> (<year>2010</year>). <article-title>Digital na (t) ives? Variation in internet skills and uses among members of the &#x0201C;net generation&#x0201D;</article-title>. <source>Sociol. Inquiry</source> <volume>80</volume>, <fpage>92</fpage>&#x02013;<lpage>113</lpage>. <pub-id pub-id-type="doi">10.1111/j.1475-682X.2009.00317.x</pub-id></citation>
</ref>
<ref id="B21">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hopkins</surname> <given-names>E.</given-names></name></person-group> (<year>2022</year>). <article-title>Machine learning tools, algorithms, and techniques</article-title>. <source>J. Self Gov. Manag. Econ.</source> <volume>10</volume>, <fpage>43</fpage>&#x02013;<lpage>55</lpage>. <pub-id pub-id-type="doi">10.22381/jsme1012023</pub-id></citation>
</ref>
<ref id="B22">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>Q.</given-names></name> <name><surname>Cheong</surname> <given-names>P. H.</given-names></name></person-group> (<year>2021</year>). <article-title>Understanding digital generations: social media habitus, memetic engagements, and digital social inequalities in China</article-title>. <source>Int. J. Commun.</source> <volume>15</volume>, <fpage>4503</fpage>&#x02013;<lpage>4524</lpage>.</citation>
</ref>
<ref id="B23">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ignatow</surname> <given-names>G.</given-names></name> <name><surname>Robinson</surname> <given-names>L.</given-names></name></person-group> (<year>2017</year>). <article-title>Pierre Bourdieu: theorizing the digital</article-title>. <source>Inform. Commun. Soc.</source> <volume>20</volume>, <fpage>950</fpage>&#x02013;<lpage>966</lpage>. <pub-id pub-id-type="doi">10.1080/1369118X.2017.1301519</pub-id></citation>
</ref>
<ref id="B24">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Katz</surname> <given-names>E.</given-names></name> <name><surname>Blumler</surname> <given-names>J. G.</given-names></name> <name><surname>Gurevitch</surname> <given-names>M.</given-names></name></person-group> (<year>1973</year>). <article-title>Uses and gratifications research</article-title>. <source>Public Opin. Quart.</source> <volume>37</volume>, <fpage>509</fpage>&#x02013;<lpage>523</lpage>. <pub-id pub-id-type="doi">10.1086/268109</pub-id></citation>
</ref>
<ref id="B25">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kliestik</surname> <given-names>T.</given-names></name> <name><surname>Kovalova</surname> <given-names>E.</given-names></name> <name><surname>L&#x001CE;z&#x001CE;roiu</surname> <given-names>G.</given-names></name></person-group> (<year>2022a</year>). <article-title>Cognitive decision-making algorithms in data-driven retail intelligence: consumer sentiments, choices, and shopping behaviors</article-title>. <source>J. Self Gov. Manag. Econ.</source> <volume>10</volume>, <fpage>30</fpage>&#x02013;<lpage>42</lpage>. <pub-id pub-id-type="doi">10.22381/jsme1012022</pub-id></citation>
</ref>
<ref id="B26">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kliestik</surname> <given-names>T.</given-names></name> <name><surname>Zvarikova</surname> <given-names>K.</given-names></name> <name><surname>L&#x001CE;z&#x001CE;roiu</surname> <given-names>G.</given-names></name></person-group> (<year>2022b</year>). <article-title>Data-driven machine learning and neural network algorithms in the retailing environment: consumer engagement, experience, and purchase behaviors</article-title>. <source>Econ. Manag. Finan. Mark.</source> <volume>17</volume>, <fpage>57</fpage>&#x02013;<lpage>69</lpage>. <pub-id pub-id-type="doi">10.22381/emfm17120224</pub-id></citation>
</ref>
<ref id="B27">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>Y.</given-names></name> <name><surname>Yang</surname> <given-names>S.</given-names></name> <name><surname>Zhang</surname> <given-names>S.</given-names></name> <name><surname>Zhang</surname> <given-names>W.</given-names></name></person-group> (<year>2019</year>). <article-title>Mobile social media use intention in emergencies among Gen Y in China: an integrative framework of gratifications, task-technology fit, and media dependency</article-title>. <source>Telemat. Inform.</source> <volume>42</volume>:<fpage>101244</fpage>. <pub-id pub-id-type="doi">10.1016/j.tele.2019.101244</pub-id></citation>
</ref>
<ref id="B28">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>Y.</given-names></name> <name><surname>Li</surname> <given-names>H.</given-names></name></person-group> (<year>2010</year>). <article-title>Mobile internet diffusion in China: an empirical study</article-title>. <source>Ind. Manag. Data Syst.</source> <volume>110</volume>, <fpage>309</fpage>&#x02013;324. <pub-id pub-id-type="doi">10.1108/02635571011030006</pub-id></citation>
</ref>
<ref id="B29">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mossberger</surname> <given-names>K.</given-names></name> <name><surname>Tolbert</surname> <given-names>C. J.</given-names></name> <name><surname>Hamilton</surname> <given-names>A.</given-names></name></person-group> (<year>2012</year>). <article-title>Measuring digital citizenship: mobile access and broadband</article-title>. <source>Int. J. Commun.</source> <volume>6</volume>, <fpage>2492</fpage>&#x02013;<lpage>2528</lpage>.</citation>
</ref>
<ref id="B30">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Musova</surname> <given-names>Z.</given-names></name> <name><surname>Musa</surname> <given-names>H.</given-names></name> <name><surname>Drugdova</surname> <given-names>J.</given-names></name> <name><surname>Lazaroiu</surname> <given-names>G.</given-names></name> <name><surname>Alayasa</surname> <given-names>J.</given-names></name></person-group> (<year>2021</year>). <article-title>Consumer attitudes towards new circular models in the fashion industry</article-title>. <source>J. Compet.</source> <volume>13</volume>, <fpage>111</fpage>&#x02013;<lpage>128</lpage>. <pub-id pub-id-type="doi">10.7441/joc.2021.03.07</pub-id></citation>
</ref>
<ref id="B31">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nica</surname> <given-names>E.</given-names></name> <name><surname>Sabie</surname> <given-names>O. M.</given-names></name> <name><surname>Mascu</surname> <given-names>S.</given-names></name> <name><surname>Lutan</surname> <given-names>A. G.</given-names></name></person-group> (<year>2022</year>). <article-title>Artificial intelligence decision-making in shopping patterns: consumer values, cognition, and attitudes</article-title>. <source>Econ. Manag. Finan. Mark.</source> <volume>17</volume>, <fpage>31</fpage>&#x02013;<lpage>43</lpage>. <pub-id pub-id-type="doi">10.22381/emfm17120222</pub-id></citation>
</ref>
<ref id="B32">
<citation citation-type="book"><person-group person-group-type="author"><name><surname>Norris</surname> <given-names>P.</given-names></name></person-group> (<year>2001</year>). <source>Digital Divide: Civic Engagement, Information Poverty, and the Internet Worldwide</source>. <publisher-loc>Cambridge</publisher-loc>: <publisher-name>Cambridge University Press</publisher-name>. <pub-id pub-id-type="doi">10.1017/CBO9781139164887</pub-id></citation>
</ref>
<ref id="B33">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Papacharissi</surname> <given-names>Z.</given-names></name> <name><surname>Rubin</surname> <given-names>A. M.</given-names></name></person-group> (<year>2000</year>). <article-title>Predictors of internet use</article-title>. <source>J. Broadcast. Elect. Media</source> <volume>44</volume>, <fpage>175</fpage>&#x02013;<lpage>196</lpage>. <pub-id pub-id-type="doi">10.1207/s15506878jobem4402_2</pub-id></citation>
</ref>
<ref id="B34">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Perrin</surname> <given-names>A.</given-names></name></person-group> (<year>2015</year>). <article-title>Social media usage</article-title>. <source>Pew Res. Center</source> <volume>125</volume>, <fpage>52</fpage>&#x02013;<lpage>68</lpage>.</citation>
</ref>
<ref id="B35">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>PrakashYadav</surname> <given-names>G.</given-names></name> <name><surname>Rai</surname> <given-names>J.</given-names></name></person-group> (<year>2017</year>). <article-title>The Generation Z and their social media usage: a review and a research outline</article-title>. <source>Glob. J. Enterp. Inform. Syst.</source> <volume>9</volume>, <fpage>110</fpage>&#x02013;<lpage>116</lpage>. <pub-id pub-id-type="doi">10.18311/gjeis/2017/15748</pub-id></citation>
</ref>
<ref id="B36">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Prensky</surname> <given-names>M.</given-names></name></person-group> (<year>2001</year>). <article-title>Digital natives, digital immigrants</article-title>. <source>Horizon</source> <volume>9</volume>, <fpage>1</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1108/10748120110424816</pub-id></citation>
</ref>
<ref id="B37">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Robinson</surname> <given-names>L.</given-names></name></person-group> (<year>2009</year>). <article-title>A taste for the necessary: A Bourdieuian approach to digital inequality</article-title>. <source>Infm. Commun. Soc.</source> <volume>12</volume>, <fpage>488</fpage>&#x02013;<lpage>507</lpage>. <pub-id pub-id-type="doi">10.1080/13691180902857678</pub-id></citation>
</ref>
<ref id="B38">
<citation citation-type="book"><person-group person-group-type="author"><name><surname>Rubin</surname> <given-names>A. M.</given-names></name></person-group> (<year>1994</year>). <article-title>Media uses and effects: a uses-and-gratifications perspective</article-title>, in <source>Media Effects: Advances in Theory and Research</source>, eds <person-group person-group-type="editor"><name><surname>Bryant</surname> <given-names>J.</given-names></name> <name><surname>Zillmann</surname> <given-names>D.</given-names></name></person-group> (<publisher-loc>London</publisher-loc>: <publisher-name>Lawrence Erlbaum Associates, Inc.</publisher-name>), <fpage>417</fpage>&#x02013;<lpage>436</lpage>. <pub-id pub-id-type="pmid">21469004</pub-id></citation></ref>
<ref id="B39">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shane-Simpson</surname> <given-names>C.</given-names></name> <name><surname>Manago</surname> <given-names>A.</given-names></name> <name><surname>Gaggi</surname> <given-names>N.</given-names></name> <name><surname>Gillespie-Lynch</surname> <given-names>K.</given-names></name></person-group> (<year>2018</year>). <article-title>Why do college students prefer Facebook, Twitter, or Instagram? Site affordances, tensions between privacy and self-expression, and implications for social capital</article-title>. <source>Comput. Hum. Behav.</source> <volume>86</volume>, <fpage>276</fpage>&#x02013;<lpage>288</lpage>. <pub-id pub-id-type="doi">10.1016/j.chb.2018.04.041</pub-id></citation>
</ref>
<ref id="B40">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sullivan</surname> <given-names>J.</given-names></name></person-group> (<year>2012</year>). <article-title>A tale of two microblogs in China</article-title>. <source>Media Cult. Soc.</source> <volume>34</volume>, <fpage>773</fpage>&#x02013;<lpage>783</lpage>. <pub-id pub-id-type="doi">10.1177/0163443712448951</pub-id></citation>
</ref>
<ref id="B41">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Turner</surname> <given-names>A.</given-names></name></person-group> (<year>2015</year>). <article-title>Generation Z: technology and social interest</article-title>. <source>J. Indiv. Psychol.</source> <volume>71</volume>, <fpage>103</fpage>&#x02013;<lpage>113</lpage>. <pub-id pub-id-type="doi">10.1353/jip.2015.0021</pub-id></citation>
</ref>
<ref id="B42">
<citation citation-type="book"><person-group person-group-type="author"><name><surname>Van Dijck</surname> <given-names>J.</given-names></name></person-group> (<year>2013</year>). <source>The Culture of Connectivity: A Critical History of Social Media</source>. <publisher-loc>Oxford</publisher-loc>: <publisher-name>Oxford University Press</publisher-name>. <pub-id pub-id-type="doi">10.1093/acprof:oso/9780199970773.001.0001</pub-id></citation>
</ref>
<ref id="B43">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Van Dijk</surname> <given-names>J. A.</given-names></name></person-group> (<year>2006</year>). <article-title>Digital divide research, achievements and shortcomings</article-title>. <source>Poetics 34</source>, <fpage>221</fpage>&#x02013;<lpage>235</lpage>. <pub-id pub-id-type="doi">10.1016/j.poetic.2006.05.004</pub-id></citation>
</ref>
<ref id="B44">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>van Teijlingen</surname> <given-names>E.</given-names></name> <name><surname>Hundley</surname> <given-names>V.</given-names></name></person-group> (<year>2002</year>). <article-title>The importance of pilot studies</article-title>. <source>Nurs. Stand.</source> <volume>16</volume>, <fpage>33</fpage>&#x02013;<lpage>36</lpage>. <pub-id pub-id-type="doi">10.7748/ns2002.06.16.40.33.c3214</pub-id><pub-id pub-id-type="pmid">12216297</pub-id></citation></ref>
<ref id="B45">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>V&#x001CE;t&#x001CE;m&#x001CE;nescu</surname> <given-names>E. M.</given-names></name> <name><surname>Dabija</surname> <given-names>D. C.</given-names></name> <name><surname>Gazzola</surname> <given-names>P.</given-names></name> <name><surname>Cegarro-Navarro</surname> <given-names>J. G.</given-names></name> <name><surname>Buzzi</surname> <given-names>T.</given-names></name></person-group> (<year>2021</year>). <article-title>Before and after the outbreak of covid-19: linking fashion companies&#x00027; corporate social responsibility approach to consumers&#x00027; demand for sustainable products</article-title>. <source>J. Clean. Prod.</source> <volume>321</volume>:<fpage>128945</fpage>. <pub-id pub-id-type="doi">10.1016/j.jclepro.2021.128945</pub-id></citation>
</ref>
<ref id="B46">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vi&#x00163;elar</surname> <given-names>A.</given-names></name></person-group> (<year>2019</year>). <article-title>Like me: Generation Z and the use of social media for personal branding</article-title>. <source>Manag. Dyn. Knowl. Econ.</source> <volume>7</volume>, <fpage>257</fpage>&#x02013;<lpage>268</lpage>. <pub-id pub-id-type="doi">10.25019/MDKE/7.2.07</pub-id></citation>
</ref>
<ref id="B47">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>J. L.</given-names></name> <name><surname>Jackson</surname> <given-names>L. A.</given-names></name> <name><surname>Wang</surname> <given-names>H. Z.</given-names></name> <name><surname>Gaskin</surname> <given-names>J.</given-names></name></person-group> (<year>2015</year>). <article-title>Predicting social networking site (SNS) use: personality, attitudes, motivation and internet self-efficacy</article-title>. <source>Person. Indiv. Differ.</source> <volume>80</volume>, <fpage>119</fpage>&#x02013;<lpage>124</lpage>. <pub-id pub-id-type="doi">10.1016/j.paid.2015.02.016</pub-id></citation>
</ref>
<ref id="B48">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>L.</given-names></name> <name><surname>Pentina</surname> <given-names>I.</given-names></name></person-group> (<year>2012</year>). <article-title>Motivations and usage patterns of Weibo</article-title>. <source>Cyberpsychol. Behav. Soc. Netw.</source> <volume>15</volume>, <fpage>312</fpage>&#x02013;<lpage>317</lpage>. <pub-id pub-id-type="doi">10.1089/cyber.2011.0615</pub-id><pub-id pub-id-type="pmid">22703037</pub-id></citation></ref>
<ref id="B49">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zillien</surname> <given-names>N.</given-names></name> <name><surname>Hargittai</surname> <given-names>E.</given-names></name></person-group> (<year>2009</year>). <article-title>Digital distinction: status-specific types of Internet usage</article-title>. <source>Soc. Sci. Quart.</source> <volume>90</volume>, <fpage>274</fpage>&#x02013;<lpage>291</lpage>. <pub-id pub-id-type="doi">10.1111/j.1540-6237.2009.00617.x</pub-id></citation>
</ref>
</ref-list> 
</back>
</article>
