Experimental evidence of massive-scale emotional contagion through social networks

By Adam D. I. Kramer, Jamie Guillory, Jeffrey T. Hancock. 2014

3,045 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistical and Nonlinear Physics, Social Sciences & Humanities

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Citations in the corpus

The Social Impact of Natural Language Processing (2016, background): “The public outcry over the “emotional contagion” experiment on Facebook (Kramer et al., 2014) further suggests that data sciences now affect human subjects in real time, and that we might have to reconsider the application of ethical considerations to our research (Puschmann and Bozdag, 2014).”
How To Backdoor Federated Learning (2018, background): “ackdoor because it does not require any modiﬁcations to the input at inference time. Many users trust machine-provided recommendations [40] and their online behavior can be inﬂuenced by what they see [20]. Therefore, even a single suggested word may change some user’s opinion about an event, person,”
Measuring Emotional Contagion in Social Media (2015, background): “A recent study performed by Facebook suggests that emotional contagion occurs online even in absence of non-verbal cues typical of in-person interactions [27].”
"I always assumed that I wasn't really that close to [her]": Reasoning about Invisible Algorithms in News Feeds (2015, background): “Launched in 2006 [37], the Facebook News Feed curation algorithm has attracted significant attention in recent years, particularly after a recent, controversial study of emotional contagion [22].”
"I Didn't Sign Up for This!": Informed Consent in Social Network Research (2015, neutral): “The debate came to a head when researchers at Facebook published a study exploring emotional contagion through manipulation of Facebook's News Feed product (Kramer, Guillory, and Hancock 2014).”
Measuring objective and subjective well-being: dimensions and data sources (2020, background): “[310] test whether emotions are contagious between users without the awareness of the influenced individuals.”
Emotional contagion in organizational life (2018, background): “While research in this domain is still relatively nascent, extant work suggests that emotions can in fact spread virtually, both among teams and, more broadly, across entire social networking platforms (Cheshin et al., 2011; Del Vicario et al., 2016; Ferrara & Yang, 2015; Kramer et al., 2014).”
Online Evaluation for Information Retrieval (2016, background): “For instance, consider a recent AB test at Facebook that involved controlled experiments that modify the ranking of notifications listed on a social network feed [Kramer et al., 2014].”
What’s in a post? How sentiment and issue salience affect users’ emotional reactions on Facebook (2020, background): “Finally, our findings on users’ apparent emotional responses to Facebook posts are furthermore not restricted to the study of election campaigns and may contribute to discussions on political misinformation or emotional contagion on social media as well (Bakir & McStay, 2018; Kramer et al., 2014).”
Blissfully ignorant: the effects of general privacy concerns, general institutional trust, and affect in the privacy calculus (2015, background): “Affect-eliciting newsfeeds on social media websites, for example, could lead individuals to frequently experience positive affect (Kramer et al ., 2014) and result in biased beliefs and behaviors concerning the use of personal information, e.g. for targeted advertising.”
Exposure diversity as a design principle for recommender systems (2018, background): “As the responses to a recent Facebook experiment have shown (Kramer, Guillory, & Hancock, 2014), influencing people ’ s choices, even for good and legitimate reasons, can sit at odds with users ’ conceptions of personal autonomy, freedom from manipulation and privacy.”
Emotional States vs. Emotional Words in Social Media (2015, methodology): “2786473 rd Counts [29]) has been used to infer“emotion contagion”[21, 6, 13], “life satisfaction” [19], and overall “happiness” [32] of social media users.”