Sharing news with online friends: A study of network homophily, network size, and news type

Sun, Ruoyu; Liu, Cong; Millet, Barbara; Ali, Khudejah; Petit, John

doi:10.1016/j.tele.2021.101763

Cited by 8 publications

(9 citation statements)

References 42 publications

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“…Homogenous relationships in a group refer to a consequence of opportunities for interaction or maybe a result of personal preference (McPherson et al, 2001). Prior studies have empirically investigated the effect of network homogeneity, known as the degree of similarity among network members (Liu-Thompkins, 2012), in several contexts, including content sharing (Peng et al, 2018;Sun et al, 2022) and product adoption (Aral et al, 2009;Eggers et al, 2022;Kwon et al, 2017). Almost all extant research studied the dyadic similarities between nodes to investigate the peer-to-peer influence from homophily.…”

Section: Impact Of Homophilymentioning

confidence: 99%

“…Prior studies have empirically investigated the effect of network homogeneity, known as the degree of similarity among network members (Liu-Thompkins, 2012), in several contexts, including content sharing (Peng et al. , 2018; Sun et al. , 2022) and product adoption (Aral et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Given that homophily could effectively characterize individuals' social relationships and preferences (Kwon et al, 2017), a great deal of recent interest has emerged among academics and practitioners in understanding the effect of homophily on content sharing and product adoption (Susarla et al, 2012;Peng et al, 2018). Research on homophily in social network has largely focused on the poster-receiver similarity (Eggers et al, 2022;Peng et al, 2018;Susarla et al, 2012;Sun et al, 2022;Nejad et al, 2015). Less work has focused on parsing out the similarity among a group people (hereafter, group similarity).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Homogenous or heterogeneous? Demand effect of reviewer similarity in online video website

Yang

Kong

Huang

2022

ITP

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PurposeNowadays, online platforms which provide products or services try to implement their homegrown communities to facilitate users' social interactions. Reviewers' activities in these communities can reflect their interests. Based on the theory of homophily, the authors aim to explore the impacts of the reviewer preference similarity and opinion similarity on the rate of product diffusion.Design/methodology/approachFirst, the authors construct reviewer similarity network based on their common interests and propose typical network metrics to measure reviewer preference similarity. Second, the authors measure reviewer opinion similarity with natural language processing. Finally, based on a panel data from an online video platform in China, both the fixed-effect and random-effect panel data models are constructed.FindingsThe authors find that reviewer preference similarity has a positive effect on the product diffusion, whereas reviewer opinion similarity has a negative effect on the diffusion. Furthermore, temporal distance moderates the relationship between reviewer similarity and the product diffusion. As a double-edged sword, review preference similarity hinders product diffusion in the initial phase, whereas benefits it in the later phase. Reviewer opinion similarity is always detrimental to product diffusion, especially in the initial phase.Originality/valueThis paper extends the understanding of homophily from the micro peer level to the group level by constructing reviewers' similarity network and highlights the important role of reviewer preference similarity and opinion similarity in product diffusion. The results also provide important insights for managers to design and implement diversity strategies for better product adoption in the community context.

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Section: Impact Of Homophilymentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Homogenous or heterogeneous? Demand effect of reviewer similarity in online video website

Yang

Kong

Huang

2022

ITP

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“…Among the intrinsic motivation to share fake news content on SMP, misinformation belief was the most cited among the articles in the review. Regarding misinformation belief, users tend to share content when they think it is real news, regardless of whether the news content is actually real or fake (Barua et al, 2020; Lu et al, 2022; Sun et al, 2022). Demographic factors such as age and gender also seem to be factors that influence sharing behavior.…”

Section: Resultsmentioning

confidence: 99%

“…Civil society is a broad group composed of SMP users, society/communities, educational institutions, journalists, fact-checkers, and bloggers or influencers. In addition, we included private health organizations due to the large amount of work addressing the fake news problem in the health area (Au et al, 2021; Balakrishnan, 2022; Lee et al, 2022; Milani et al, 2020; Pennycook et al, 2020b; Sun et al, 2022). Thus, different motivations to share require different solutions to be implemented by each agent.…”

Section: Resultsmentioning

confidence: 99%

A systematic literature review of the motivations to share fake news on social media platforms and how to fight them

Melchior

Oliveira

2023

New Media & Society

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This review aims (a) to investigate the motivations to share fake news on Social Media Platforms (SMPs) according to the Self-Determination Theory (SDT); (b) to identify the solutions to fight these motivations and the agents in charge of implementing them; and (c) the user’s role in this process. We reviewed 64 journal articles published up to April 2022. Misinformation belief and entertainment stood out as the most cited intrinsic motivations, while self-promotion, conspiracy theory, and political ideology were the most cited extrinsic motivations in the reviewed literature. The main solutions to fight fake news spreading on SMPs are improving users’ digital literacy, refining interventions, rating headlines, and sources, and promoting users’ engagement to consume content sustainably. These interventions should be adopted by four agents: governments, SMPs, civil society, and private health organizations. However, the role of SMP users themselves is critical in this process.

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In Twitter we trust(ed): How perceptions of Twitter's helpfulness influence news post credibility perceptions and news engagement

Millet,

Tang,

Seelig

et al. 2024

Computers in Human Behavior

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Sharing news with online friends: A study of network homophily, network size, and news type

Cited by 8 publications

References 42 publications

Homogenous or heterogeneous? Demand effect of reviewer similarity in online video website

Homogenous or heterogeneous? Demand effect of reviewer similarity in online video website

A systematic literature review of the motivations to share fake news on social media platforms and how to fight them

In Twitter we trust(ed): How perceptions of Twitter's helpfulness influence news post credibility perceptions and news engagement

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