Understanding news sharing in social media: An explanation from the diffusion of innovations theory

Purpose – The purpose of this paper is to draw from the diffusion of innovations theory to explore multi-levels of influences (i.e. individuals, networks, news attributes) on news sharing in social media. Design/methodology/approach – A survey was designed and administered to 309 respondents. Structural equation modelling analysis was conducted to examine the three levels of influential factors. These included self-perceptions of opinion leadership and seeking at the individual level, perceived tie strength and homophily at the network level, and finally, perceived news credibility and news preference at the news attribute level. Findings – The results revealed that the influences of self-perceptions of opinion leadership, perceived tie strength in online networks and perceived preference of online news had significant effects on users’ news sharing intention in social media. However, self-perceptions of opinion seeking, homophily, and perceived news credibility were not significant. Originality/value – T...

[1]  D. McQuail McQuail's Mass Communication Theory , 2000 .

[2]  M. Reynolds,et al.  HOW THE NEWS SHAPES OUR CIVIC AGENDA , 2009 .

[3]  Hichang Cho,et al.  Testing an integrative theoretical model of knowledge-sharing behavior in the context of Wikipedia , 2010 .

[4]  Carol L. Barry User-defined relevance criteria: an exploratory study , 1994 .

[5]  Chei Sian Lee,et al.  Indagator: Investigating perceived gratifications of an application that blends mobile content sharing with gameplay , 2010 .

[6]  Kristina Lerman,et al.  Social Information Processing in News Aggregation , 2007, IEEE Internet Computing.

[7]  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 .

[8]  Barbara Wejnert Integrating models of diffusion of innovations: a Conceptual Framework. , 2002 .

[9]  Krishna P. Gummadi,et al.  Measuring User Influence in Twitter: The Million Follower Fallacy , 2010, ICWSM.

[10]  Chin-Lung Hsu,et al.  Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation , 2008, Inf. Manag..

[11]  E. Mazur,et al.  Adolescents' and Emerging Adults' Social Networking Online: Homophily or Diversity? , 2011 .

[12]  Pamela J. Shoemaker News and newsworthiness: A commentary , 2006 .

[13]  Gerhard J. Hanneman,et al.  Relevance and Diffusion of News of Major and Minor Events , 1973 .

[14]  Aviv Shoham,et al.  Opinion leaders and followers: A replication and extension , 2008 .

[15]  R. Goldsmith,et al.  Some psychological motivations for fashion opinion leadership and fashion opinion seeking , 2006 .

[16]  L. Flynn,et al.  Opinion leaders and opinion seekers: Two new measurement scales , 1996 .

[17]  B. Lyons,et al.  Opinion leadership in a computer-mediated environment , 2005 .

[18]  Allerd Peeters,et al.  Explaining Effects of Sensationalism on Liking of Television News Stories , 2008, Commun. Res..

[19]  D. Shaw,et al.  Agenda setting function of mass media , 1972 .

[20]  Alison A. Plessinger,et al.  Exploring Receivers' Criteria for Perception of Print and Online News , 1999 .

[21]  E. Rogers Diffusion of Innovations , 1962 .

[22]  Kristina Lerman,et al.  Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks , 2010, ICWSM.

[23]  Markus Prior,et al.  Any Good News in Soft News? The Impact of Soft News Preference on Political Knowledge , 2003 .

[24]  Peter H. Reingen,et al.  Social Ties and Word-of-Mouth Referral Behavior , 1987 .

[25]  Andreas Mojzisch,et al.  Biased evaluation of information during discussion: Disentangling the effects of preference consistency, social validation, and ownership of information , 2010 .

[26]  Chei Sian Lee,et al.  News sharing in social media: The effect of gratifications and prior experience , 2012, Comput. Hum. Behav..

[27]  Chei Sian Lee,et al.  Exploring emotional expressions on YouTube through the lens of media system dependency theory , 2012, New Media Soc..

[28]  Chei Sian Lee,et al.  That's news to me: the influence of perceived gratifications and personal experience on news sharing in social media , 2011, JCDL '11.

[29]  Mark S. Granovetter T H E S T R E N G T H O F WEAK TIES: A NETWORK THEORY REVISITED , 1983 .

[30]  Derek L. Hansen,et al.  Impact of Popularity Indications on Readers' Selective Exposure to Online News , 2005 .

[31]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[32]  Paul M. Haridakis,et al.  YouTube Users Watching and Sharing the News: A Uses and Gratifications Approach , 2008 .

[33]  Shu-Chuan Chu,et al.  Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites , 2011 .

[34]  Erin M. Steffes,et al.  Social ties and online word of mouth , 2009, Internet Res..

[35]  Kristina Lerman,et al.  Social Information Processing in Social News Aggregation , 2007, ArXiv.

[36]  Seounmi Youn,et al.  Online Word-of-Mouth (or Mouse): An Exploration of Its Antecedents and Consequences , 2006, J. Comput. Mediat. Commun..

[37]  An Nguyen The contribution of online news attributes to its diffusion: An empirical exploration based on a proposed theoretical model for the micro-process of online news adoption/use , 2008, First Monday.

[38]  Ray Reagans,et al.  Network Structure and Knowledge Transfer: The Effects of Cohesion and Range , 2003 .

[39]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[40]  R. Burt The Social Capital of Opinion Leaders , 1999 .