Personal Influence: The Part Played by People in the Flow of Mass Communications

By F. Elkin, E. Katz, P. Lazarsfeld, E. Roper. 1956

Citations in the corpus

• Inferring networks of diffusion and influence (2010, neutral): “Cascading behavior, diffusion and spreading of ideas, innovation, information, influence, viruses and diseases are fundamental processes taking place in networks [12, 28, 30].”
• Social networks (2009, unknown): “Since strong ties are likely to be interconnected, they are expected to be mutually reinforcing and highly trustworthy (Granovetter, 1973, 1983; see also Burt, 1984; Marsden, 1987; McPherson et al., 2006) Another commonly studied attribute is skill in or otherwise relevance to the particular need.”
• Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site (2009, unknown): “The earliest study on the effectiveness of WOM is survey based (Katz and Lazarsfeld 1955) and was followed by more than 70 marketing studies, most of them also inferring WOM from self-reports in surveys (Godes and Mayzlin 2004; Money, Gilly, and Graham 1998).”
• Measuring User Influence in Twitter: The Million Follower Fallacy (2010, unknown): “Influence has long been studied in the fields of sociology, communication, marketing, and political science (Rogers 1962; Katz and Lazarsfeld 1955).”
• How social media influencers affect behavioural intentions towards recommended brands: the role of emotional attachment and information value (2021, unknown): “Consistent with two-step flow communication theory (Katz & Lazarsfeld, 1955), social media influencers mediate messages because they elaborate on the information they receive and distribute it to other people via eWOM (Magno, 2017).”
• How Gullible are We? A Review of the Evidence from Psychology and Social Science (2017, unknown): “This suggests that whether the information comes from the media, other elites (Lupia, 1994), or personal networks (Katz & Lazarsfeld, 1955; Lazarsfeld, Berelson, & Gaudet, 1948), people calibrate their trust appropriately on the whole.”
• The Influence of Hedonic Values on Consumer Behaviors (2000, unknown): “…Seeking Consumer novelty seeking refers to a propensity to seek new experiences and novel stimuli and to try new products or change brands for increasing stimulation and variety (Hirschman, 1980; Katz & Lazarsfeld, 1955; Leavitt & Walton, 1975, 1988; McAlister & Pessemier, 1982; Raju, 1980).”
• The role of digital influencers in brand recommendation: Examining their impact on engagement, expected value and purchase intention (2019, unknown): “Two-step flow communication theory (Katz & Lazarsfeld, 1955) and observational learning theory (Bandura, 1977) clearly link to explain actual personal influence or opinion leadership within social networks.”
• The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings (2011, unknown): “A key insight deduced from previous studies is that the influence of user reviews is particularly significant for experience goods (Klein, 1998), as their quality is often unknown before consumption (Katz & Lazarsfeld, 1955; Nelson, 1970) and consumers have to rely on word-of-mouth and online review”
• News Recommendations from Social Media Opinion Leaders: Effects on Media Trust and Information Seeking (2015, unknown): “Journal of Computer-Mediated Communication 20 (2015) 520–535 © 2015 International Communication Association 529 Note: ∗∗∗p .001 ∗∗p .01 ∗p .05.”
• Norm Perception as a Vehicle for Social Change (2016, unknown): “In this literature, influential individuals are the early adopters of new ideas and practices, adopting them from sources such as the mass media and propagating them throughout their social network via personal endorsements (Katz & Lazarsfeld, 1955; Rogers, 1962).”
• The Dynamics of Audience Fragmentation: Public Attention in an Age of Digital Media (2012, unknown): “The power of social networks to affect our media choices has been evident for some time (Katz & Lazarsfeld, 1955), but the emergence of social media has introduced new forces that shape attendance.”
• Social influence in social advertising: evidence from field experiments (2012, unknown): “…experiments on conformity to group behavior [Sherif 1936; Asch 1956] and observational studies of opinion leadership in mass communication [Katz and Lazars­feld 1955], these peer effects have been a central subject for the social and economic sciences.4 In the presence of peer…”
• The structure of online diffusion networks (2012, unknown): “In turn, this observation may motivate a more general class of diffusion models that follow clas­sical in.uence studies [Katz and Lazarsfeld 1955] in explicitly differentiating media actors from ordinary individuals.”
• Influentials, Networks, and Public Opinion Formation (2007, unknown): “Although the particular choice of does affect thef probability that a global cascade can take place, it affects influentials and noninfluentials in a similar manner; thus our conclusions regarding the relative effect of influentials are largely independent of .”
• eWOM: Extant Research Review and Future Research Avenues (2016, unknown): “The two-step flow of communication or multistep flow model states that most people form their opinions under the influence of opinion leaders, who are perceived as experts or more knowledgeable (Katz & Lazarsfeld, 1970).”