Structurally embedded news consumption on mobile news applications

Abstract This study uses a longitudinal dataset extracted from a mobile news application and adopts a multilevel design to examine the evolution of diversity of individuals’ news consumption and to identify the factors that underlie such evolution. A decreasing trend in news consumption diversity is observed among users. The news consumption diversity of individuals is positively related to global information diversity. Furthermore, the news consumption diversity of males exhibits a stronger tendency to be influenced by global information diversity than that of females. The decreasing trend in news consumption diversity is less remarkable among males than among females. This study complements traditional motivation-driven perspectives of news consumption by mining the structural antecedents of news consumption diversity and further emphasizes the social implications of mobile news technology. Lastly, practical implications and limitations are discussed.

[1]  D. McQuail.  The Television Audience : A Revised Perspective , 1972 .

[2]  Claude E. Shannon,et al.  The Mathematical Theory of Communication , 1950 .

[3]  Oscar Westlund,et al.  MOBILE NEWS , 2013, The Oxford Handbook of Mobile Communication and Society.

[4]  Irene Costera Meijer,et al.  Checking, Sharing, Clicking and Linking: Changing patterns of news use between 2004 and 2014 , 2015 .

[5]  Oscar Westlund,et al.  THE 4C'S OF MOBILE NEWS , 2012 .

[6]  Liu Yang,et al.  Decline in news content engagement or news medium engagement? A longitudinal analysis of news engagement since the rise of social and mobile media 2009–2012 , 2018 .

[7]  Sylvia M. Chan-Olmsted,et al.  Mobile News Adoption among Young Adults , 2013 .

[8]  Frank Abiocca.  Opposing Conceptions of the Audience: The Active and Passive Hemispheres of Mass Communication Theory , 1988 .

[9]  Michael Chan,et al.  Microblogging, Online Expression, and Political Efficacy Among Young Chinese Citizens: The Moderating Role of Information and Entertainment Needs in the Use of Weibo , 2012, Cyberpsychology Behav. Soc. Netw..

[10]  August E. Grant,et al.  Reconceptualizing the role of habit: A new model of television audience activity , 1997 .

[11]  P. A. Dabholkar,et al.  Consumer participation in using online recommendation agents: effects on satisfaction, trust, and purchase intentions , 2012 .

[12]  Jay D. Hmielowski,et al.  Clicking vs. sharing: The relationship between online news behaviors and political knowledge , 2016, Comput. Hum. Behav..

[13]  Hersen Doong,et al.  Do males and females differ in how they perceive and elaborate on agent-based recommendations in Internet-based selling? , 2011, Electron. Commer. Res. Appl..

[14]  R. LaRose,et al.  Getting Hooked on News: Uses and Gratifications and the Formation of News Habits Among College Students in an Internet Environment , 2006 .

[15]  David Nicholas,et al.  Evaluating consumer website logs: a case study of The Times/The Sunday Times website , 2000, J. Inf. Sci..

[16]  Susan Gauch,et al.  Incorporating quality metrics in centralized/distributed information retrieval on the World Wide Web , 2000, SIGIR '00.

[17]  Hichang Cho,et al.  Analysis of collaborative leaning behavior using a social network perspective , 2010 .

[18]  Amir Goldberg,et al.  What Does It Mean to Span Cultural Boundaries? Variety and Atypicality in Cultural Consumption , 2016 .

[19]  Mary Czerwinski,et al.  Identifying relevant social media content: leveraging information diversity and user cognition , 2011, HT '11.

[20]  Antti Oulasvirta,et al.  Habits make smartphone use more pervasive , 2011, Personal and Ubiquitous Computing.

[21]  Lex Borghans,et al.  Gender Differences in Risk Aversion and Ambiguity Aversion , 2009, SSRN Electronic Journal.

[22]  Gerald M. Kosicki,et al.  Personalized News Portals , 2014 .

[23]  Sangmin Jun,et al.  The reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among Korean adolescents , 2016, Comput. Hum. Behav..

[24]  E. Katz,et al.  The Uses of Mass Communications: Current Perspectives on Gratifications Research. Sage Annual Reviews of Communication Research Volume III. , 1975 .

[25]  Justin M. Rao,et al.  Filter Bubbles, Echo Chambers, and Online News Consumption , 2016 .

[26]  M. Prior,et al.  News vs. Entertainment: How Increasing Media Choice Widens Gaps in Political Knowledge and Turnout , 2005 .

[27]  David Tewksbury.  What Do Americans Really Want to Know? Tracking the Behavior of News Readers on the Internet , 2003 .

[28]  Marti A. Hearst,et al.  Reexamining the cluster hypothesis: scatter/gather on retrieval results , 1996, SIGIR '96.

[29]  Ran Wei,et al.  Texting, tweeting, and talking: Effects of smartphone use on engagement in civic discourse in China , 2014 .

[30]  Elias N. Houstis,et al.  Personalised news and scientific literature aggregation , 2010, Inf. Process. Manag..

[31]  I G Kreft,et al.  The Effect of Different Forms of Centering in Hierarchical Linear Models. , 1995, Multivariate behavioral research.

[32]  Lada A. Adamic,et al.  Exposure to ideologically diverse news and opinion on Facebook , 2015, Science.

[33]  Kiseol Yang,et al.  Gender differences in using mobile data services: utilitarian and hedonic value approaches , 2010 .

[34]  Eli Pariser,et al.  The Filter Bubble: How the New Personalized Web Is Changing What We Read and How We Think , 2012 .

[35]  Maxwell McCombs,et al.  Revisiting the Civic Duty to Keep Informed in the New Media Environment , 2001 .

[36]  Jiahui Liu,et al.  Personalized news recommendation based on click behavior , 2010, IUI '10.

[37]  G. Salomon.  Interaction of media, cognition and learning , 1979 .

[38]  David Tewksbury.  The Seeds of Audience Fragmentation: Specialization in the Use of Online News Sites , 2005 .

[39]  Mária Bieliková,et al.  Personalized hybrid recommendation for group of users: Top-N multimedia recommender , 2016, Inf. Process. Manag..

[40]  James Leibold,et al.  Blogging Alone: China, the Internet, and the Democratic Illusion? , 2011, The Journal of Asian Studies.

[41]  Louis Leung,et al.  Seeking news via the pager: An expectancy‐value study , 1999 .

[42]  Ying-Feng Kuo,et al.  Effects of inertia and satisfaction in female online shoppers on repeat‐purchase intention: The moderating roles of word‐of‐mouth and alternative attraction , 2013 .

[43]  David Lazer,et al.  Inferring friendship network structure by using mobile phone data , 2009, Proceedings of the National Academy of Sciences.

[44]  Silvia Knobloch-Westerwick,et al.  The Gender News Use Divide: Americans’ Sex-Typed Selective Exposure to Online News Topics , 2007 .

[45]  Flavius Frasincar,et al.  A Semantic Web-Based Approach for Building Personalized News Services , 2009, Int. J. E Bus. Res..

[46]  Marcel Broersma,et al.  Repositioning news and public connection in everyday life: a user-oriented perspective on inclusiveness, engagement, relevance, and constructiveness , 2017 .

[47]  Hui Xiong,et al.  A Survey of Context-Aware Mobile Recommendations , 2013, Int. J. Inf. Technol. Decis. Mak..

[48]  Ellen Garbarino,et al.  GENDER DIFFERENCES IN THE PERCEIVED RISK OF BUYING ONLINE AND THE EFFECTS OF RECEIVING A SITE RECOMMENDATION , 2004 .

[49]  William D. Schafer,et al.  Gender differences in risk taking: A meta-analysis. , 1999 .

[50]  Jiming Hu,et al.  Research patterns and trends of Recommendation System in China using co-word analysis , 2015, Inf. Process. Manag..