Cited by 600Child and Animal Learning DevelopmentMedia Influence and HealthSocial and Intergroup Psychology

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Arousal Increases Social Transmission of Information

Open access

Berger, Jonah·2011·Psychological Science

Open this paper in CoChat — free account

Abstract

Social transmission is everywhere. Friends talk about restaurants, policy wonks rant about legislation, analysts trade stock tips, neighbors gossip, and teens chitchat. Further, such interpersonal communication affects everything from decision making and well-being (Asch, 1956; Mehl, Vazire, Holleran, & Clark, 2010) to the spread of ideas, the persistence of stereotypes, and the diffusion of culture (Heath, 1996; Heath, Bell, & Sternberg, 2001; Kashima, 2008; Schaller, Conway, & Tanchuk, 2002; Schaller & Crandall, 2004). But although it is clear that social transmission is both frequent and important, what drives people to share, and why are some stories and information shared more than others?

Integrity signals

Registry

Crossref · 10.1177/0956797611413294

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Studies of independence and conformity: I. A minority of one against a unanimous majority
Asch, S. E. (1956) · Psychological Monographs: General and Applied · doi:10.1037/h0093718 · Cited by 4,267
Emotion elicitation using films
Gross, J. J., & Levenson, R. W. (1995) · Cognition & Emotion · doi:10.1080/02699939508408966 · Cited by 2,179
Emotion Elicits the Social Sharing of Emotion: Theory and Empirical Review
Rimé, B. (2009) · Emotion Review · doi:10.1177/1754073908097189 · Cited by 1,546
The Psychological Foundations of Culture
Harton, H. C., & Bourgeois, M. J. (2003) · Psychology Press eBooks · doi:10.4324/9781410608994 · Cited by 638
Emotional selection in memes: The case of urban legends.
Heath, C., Bell, C., & Sternberg, E. (2001) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.81.6.1028 · Cited by 588
Autonomic specificity of discrete emotion and dimensions of affective space: a multivariate approach
Christie, I. C., & Friedman, B. H. (2004) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2003.08.002 · Cited by 347
Social sharing of emotion following exposure to a negatively valenced situation
Luminet, O., Bouts, P., Delie, F., Manstead, A. S. R., & Rimé, B. (2000) · Cognition & Emotion · doi:10.1080/02699930050117666 · Cited by 297
Eavesdropping on Happiness
Mehl, M. R., Vazire, S., Holleran, S. E., & Clark, C. S. (2010) · Psychological Science · doi:10.1177/0956797610362675 · Cited by 266
Arousal-induced attention to self.
Wegner, D. M., & Giuliano, T. (1980) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.38.5.719 · Cited by 253
The neurobiology of emotional experience
HEILMAN, K. (1997) · Journal of Neuropsychiatry · doi:10.1176/jnp.9.3.439 · Cited by 216

Flagged first, then by citations

Show all 15 references

Research works printed but not linked: 1

Berger J., Schwartz E. (in press). What gets talked about? Drivers of immediate and ongoing word-of-mouth. Journal of Marketing Research.

Sorted by citations

Items 101–200 of 599

Expression Modalities: How Speaking Versus Writing Shapes Word of Mouth
Berger, J. A., Rocklage, M. D., & Packard, G. M. (2021) · Journal of Consumer Research · doi:10.1093/jcr/ucab076 · Cited by 73
Self-citation
Identifying Emotions in Social Media: Comparison of Word-Emotion Lexicons
Kušen, E., Cascavilla, G., Figl, K., Conti, M., & Strembeck, M. (2017) · International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) · doi:10.1109/ficloudw.2017.75 · Cited by 62
The decision‐making process in viral marketing—A review and suggestions for further research
Reichstein, T., & Brusch, I. (2019) · Psychology and Marketing · doi:10.1002/mar.21256 · Cited by 83
Let’s face it: When and how facial emojis increase the persuasiveness of electronic word of mouth
Maiberger, T., Schindler, D., & Koschate‐Fischer, N. (2023) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-023-00932-8 · Cited by 73
Fill Up Your Senses: A Theory of Self-Worth Restoration through High-Intensity Sensory Consumption
Batra, R., & Ghoshal, T. (2017) · Journal of Consumer Research · doi:10.1093/jcr/ucx074 · Cited by 64
People think that social media platforms do (but should not) amplify divisive content
Rathje, S., Robertson, C., Brady, W. J., & Van Bavel, J. J. (2024) · Perspectives on Psychological Science · doi:10.1177/17456916231190392 · Cited by 59
Retweet: A popular information diffusion mechanism – A survey paper
Firdaus, S. N., Ding, C., & Sadeghian, A. (2018) · Online Social Networks and Media · doi:10.1016/j.osnem.2018.04.001 · Cited by 60
Protecting consumers from fraudulent health claims: A taxonomy of psychological drivers, interventions, barriers, and treatments
MacFarlane, D., Hurlstone, M. J., & Ecker, U. K. H. (2020) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.112790 · Cited by 64
Negativity and Elite Message Diffusion on Social Media
Fine, J. A., & Hunt, M. F. (2021) · Political Behavior · doi:10.1007/s11109-021-09740-8 · Cited by 62
Propagation of Information About Preexposure Prophylaxis (PrEP) for HIV Prevention Through Twitter
McLaughlin, M. L., Hou, J., Meng, J., Hu, C.-W., An, Z., Park, M., & Nam, Y. (2016) · Health Communication · doi:10.1080/10410236.2015.1027033 · Cited by 58
Toward a Better Understanding of Advertising Stimuli Processing
Matukin, M., Ohme, R. K., & Boshoff, C. (2016) · Journal of Advertising Research · doi:10.2501/jar-2016-017 · Cited by 59
Beyond belief: How social engagement motives influence the spread of conspiracy theories
Ren, Z., Dimant, E., & Schweitzer, M. E. (2022) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2022.104421 · Cited by 72
Inspire me, please! The effect of calls to action and visual executions on customer inspiration in Instagram communications
Oltra, I., Izquierdo, C. C., & Cabezudo, R. S. J. (2021) · International Journal of Advertising · doi:10.1080/02650487.2021.2014702 · Cited by 57
Engagement in Emotional News on Social Media: Intensity and Type of Emotions
Choi, J., Lee, S. Y., & Ji, S. W. (2020) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699020959718 · Cited by 55
The OPM Data Breach: An Investigation of Shared Emotional Reactions on Twitter
Bachura, E., Valecha, R., Chen, R., & Rao, H. R. (2022) · MIS Quarterly · doi:10.25300/misq/2022/15596 · Cited by 55
Swearing Effects on Citizen-to-Citizen Commenting Online
Kwon, K. H., & Cho, D. (2015) · Social Science Computer Review · doi:10.1177/0894439315602664 · Cited by 55
Beyond Viral: Interpersonal Communication in the Internet Age
Berger, J. (2013) · Psychological Inquiry · doi:10.1080/1047840x.2013.842203 · Cited by 54
Self-citation
Changing the Conversation: The Influence of Emotions on Conversational Valence and Alcohol Consumption
Hendriks, H., van den Putte, B., & de Bruijn, G. (2013) · Prevention Science · doi:10.1007/s11121-013-0418-2 · Cited by 53
Content Characteristics Driving the Diffusion of Antismoking Messages: Implications for Cancer Prevention in the Emerging Public Communication Environment
Kim, H. S., Lee, S., Cappella, J. N., Vera, L. E., & Emery, S. (2013) · JNCI Monographs · doi:10.1093/jncimonographs/lgt018 · Cited by 54
Reassessing the Facebook experiment: critical thinking about the validity of Big Data research
Panger, G. (2015) · Information Communication & Society · doi:10.1080/1369118x.2015.1093525 · Cited by 59
Examining users’ news sharing behaviour on social media: role of perception of online civic engagement and dual social influences
Bhagat, S., & Kim, D. J. (2022) · Behaviour and Information Technology · doi:10.1080/0144929x.2022.2066019 · Cited by 67
Mnemonic transmission, social contagion, and emergence of collective memory: Influence of emotional valence, group structure, and information distribution.
Choi, H., Kensinger, E. A., & Rajaram, S. (2017) · Journal of Experimental Psychology General · doi:10.1037/xge0000327 · Cited by 52
Abuse of technology in adolescence and its relation to social and emotional competencies, emotions in online communication, and bullying
Nasaescu, E., Marín‐López, I., Llorent, V. J., Ruiz, R. O., & Zych, I. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.06.036 · Cited by 63
Understanding publics’ post-crisis social media engagement behaviors: An examination of antecedents and mediators
Zhang, X. A., Borden, J., & Kim, S. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.07.014 · Cited by 50
Less is more: Engagement with the content of social media influencers
van der Harst, J. P., & Angelopoulos, S. P. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114746 · Cited by 51
Chicken Tumours and a Fishy Revenge: Evidence for Emotional Content Bias in the Cumulative Recall of Urban Legends
Stubbersfield, J., Tehrani, J. J., & Flynn, E. (2017) · Journal of Cognition and Culture · doi:10.1163/15685373-12342189 · Cited by 49
Emotional communication analysis of emergency microblog based on the evolution life cycle of public opinion
Zhang, L., Wei, J., & Boncella, R. J. (2020) · Information Discovery and Delivery · doi:10.1108/idd-10-2019-0074 · Cited by 50
Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos
Ling, C., Blackburn, J., Cristofaro, E. D., & Stringhini, G. (2022) · ACM Web Science Conference (WebSci) · doi:10.1145/3501247.3531551 · Cited by 57
How Marketing Perks Influence Word of Mouth
Lisjak, M., Bonezzi, A., & Rucker, D. D. (2021) · Journal of Marketing · doi:10.1177/0022242921991798 · Cited by 53
Negative emotions shape the diffusion of cancer tweets: toward an integrated social network–text analytics approach
Wang, X., & Lee, E. W. J. (2020) · Internet Research · doi:10.1108/intr-04-2020-0181 · Cited by 47
An Exploration of the Functions of Religious Monumental Architecture from a Darwinian Perspective
Joye, Y., & Verpooten, J. (2013) · Review of General Psychology · doi:10.1037/a0029920 · Cited by 52
Social norm perception in groups with outliers.
Dannals, J. E., & Miller, D. T. (2017) · Journal of Experimental Psychology General · doi:10.1037/xge0000336 · Cited by 46
Leveraging Twitter data to analyze the virality of Covid-19 tweets: a text mining approach
Nanath, K., & Joy, G. (2021) · Behaviour and Information Technology · doi:10.1080/0144929x.2021.1941259 · Cited by 47
EEG-Based Measures versus Panel Ratings
Deitz, G. D., Stafford, M. R., Peasley, M. C., Huang, J. C., Coleman, J. T., & Ford, J. B. (2016) · Journal of Advertising Research · doi:10.2501/jar-2016-030 · Cited by 45
Bridge ties bind collective memories
Momennejad, I., Duker, A., & Coman, A. (2019) · Nature Communications · doi:10.1038/s41467-019-09452-y · Cited by 45
How immersive technologies impact behavioral responses in destination marketing: the role of physiological arousal, presence, and age
Dalmazi, M. D., Mandolfo, M., Guixeres, J., Alcañíz, M., & Lamberti, L. (2024) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-09-2023-1511 · Cited by 55
Microblogging and the Value of Undirected Communication
Buechel, E. C., & Berger, J. A. (2017) · Journal of Consumer Psychology · doi:10.1002/jcpy.1013 · Cited by 44
Self-citation
One Does Not Simply Create a Meme: Conditions for the Diffusion of Internet Memes
Johann, M., & Bülow, L. (2019) · International journal of communication · doi:10.5282/ubm/epub.127226 · Cited by 45
Content Hungry: How the Nutrition of Food Media Influences Social Media Engagement
Pancer, E., Philp, M., Poole, M., & Noseworthy, T. J. (2021) · Journal of Consumer Psychology · doi:10.1002/jcpy.1246 · Cited by 44
Angry Posts Mobilize: Emotional Communication and Online Mobilization in the Facebook Pages of Western European Right-Wing Populist Leaders
Gerbaudo, P., Falco, C. C. D., Giorgi, G., Keeling, S., Murolo, A., & Nunziata, F. (2023) · Social Media + Society · doi:10.1177/20563051231163327 · Cited by 56
Sleep Deprivation Impairs and Caffeine Enhances My Performance, but Not Always Our Performance
Faber, N. S., Häusser, J. A., & Kerr, N. L. (2015) · Personality and Social Psychology Review · doi:10.1177/1088868315609487 · Cited by 46
Frightfully funny: combining threat and humour in health messages for men and women
Hendriks, H., & Janssen, L. (2017) · Psychology and Health · doi:10.1080/08870446.2017.1380812 · Cited by 44
Do You See What I See? Effectiveness of 360-Degree vs. 2D Video Ads Using a Neuroscience Approach
Ausin-Azofra, J. M., Bigne, E., Mafé, C. R., Marín‐Morales, J., Guixeres, J., & Alcañíz, M. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.612717 · Cited by 43
News on Events and Social Media: A Comparative Analysis of Facebook Users’ Reactions
Salgado, S., & Bobba, G. (2019) · Journalism Studies · doi:10.1080/1461670x.2019.1586566 · Cited by 48
Experience
Aswani, R., Kar, A. K., & Ilavarasan, P. V. (2019) · Journal of Data and Information Quality · doi:10.1145/3341107 · Cited by 42
Echo Chamber Effect in Rumor Rebuttal Discussions About COVID-19 in China: Social Media Content and Network Analysis Study
Wang, D., & Qian, Y. (2021) · Journal of Medical Internet Research · doi:10.2196/27009 · Cited by 42
Understanding the online relationship between politicians and citizens. A study on the user engagement of politicians’ Facebook posts in election and routine periods
Peeters, J., Opgenhaffen, M., Kreutz, T., & Aelst, P. V. (2022) · Journal of Information Technology & Politics · doi:10.1080/19331681.2022.2029791 · Cited by 41
Spreading the Good News: Analyzing Socially Shared Inspirational News Content
Ji, Q., Raney, A. A., Janicke‐Bowles, S. H., Dale, K. R., Oliver, M. B., Reed, A., Seibert, J., & Raney, A. A. (2018) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699018813096 · Cited by 45
Emotion, attitudes, norms and sources: Exploring sharing intent of disgusting online videos
Rubenking, B. E. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.02.011 · Cited by 41
Emotion Dynamics of Public Opinions on Twitter
Naskar, D., Singh, S. R., Kumar, D., Nandi, S., & Onaindía, E. (2020) · ACM Transactions on Information Systems · doi:10.1145/3379340 · Cited by 41
Did clickbait crack the code on virality?
Mukherjee, P., Dutta, S., & Bruyn, A. D. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-021-00830-x · Cited by 50
What Drives Hyper-Partisan News Sharing: Exploring the Role of Source, Style, and Content
Xu, W. W., Sang, Y., & Kim, C. (2020) · Digital Journalism · doi:10.1080/21670811.2020.1761264 · Cited by 41
How does restaurant’s symbolic design affect photo-posting on instagram? The moderating role of community commitment and coolness
Apaolaza, V., Paredes, M. R., Hartmann, P., & D’Souza, C. (2020) · Journal of Hospitality Marketing & Management · doi:10.1080/19368623.2020.1768195 · Cited by 41
Cross-Cultural Differences in Emotional Selection on Transmission of Information
Eriksson, K., Coultas, J. C., & de Barra, M. (2016) · Journal of Cognition and Culture · doi:10.1163/15685373-12342171 · Cited by 38
The individual dynamics of affective expression on social media
Pellert, M., Schweighofer, S., & García, D. (2020) · EPJ Data Science · doi:10.1140/epjds/s13688-019-0219-3 · Cited by 41
Understanding how the semantic features of contents influence the diffusion of government microblogs: Moderating role of content topics
Feng, X., Hui, K., Deng, X. W., & Jiang, G. (2021) · Information & Management · doi:10.1016/j.im.2021.103547 · Cited by 38
Is it What You Say or How You Say It? How Content Characteristics Affect Consumer Engagement with Brands on FacebookPreprint
Stephen, A. T., Sciandra, M. R., & Inman, J. J. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2683314 · Cited by 38
Determinants of E-Word of Mouth on Social Media During COVID-19 Outbreaks: An Empirical Study
Khasawneh, M. H. A., Abuhashesh, M., Ahmad, A. M. K., Alshurideh, M. T., & Masa’deh, R. M. T. (2021) · Studies in systems, decision and control · doi:10.1007/978-3-030-67151-8_20 · Cited by 38
Offline Context Affects Online Reviews: The Effect of Post-Consumption Weather
Brandes, L., & Dover, Y. (2022) · Journal of Consumer Research · doi:10.1093/jcr/ucac003 · Cited by 39
Emotions at the Service of Cultural Construction
Rimé, B. (2019) · Emotion Review · doi:10.1177/1754073919876036 · Cited by 41
A Good Story Well Told: Storytelling Components That Impact Science Video Popularity on YouTube
Huang, T., & Grant, W. J. (2020) · Frontiers in Communication · doi:10.3389/fcomm.2020.581349 · Cited by 51
The pivotal role of monitoring for collaborative problem solving seen in interaction, performance, and interpersonal physiology
Haataja, E., Malmberg, J., Dindar, M., & Järvelä, S. (2021) · Metacognition and Learning · doi:10.1007/s11409-021-09279-3 · Cited by 45
Content biases in three phases of cultural transmission: A review
Stubbersfield, J. (2022) · Culture and Evolution · doi:10.1556/2055.2022.00024 · Cited by 39
Social finance as cultural evolution, transmission bias, and market dynamics
Akçay, E., & Hirshleifer, D. A. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2015568118 · Cited by 36
Social Media Propagation of Content Promoting Risky Health Behavior
Park, M., Sun, Y., & McLaughlin, M. L. (2017) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2016.0698 · Cited by 38
Testing for Behavioral and Physiological Responses of Domestic Horses (Equus caballus) Across Different Contexts – Consistency Over Time and Effects of Context
Safryghin, A., Hebesberger, D., & Wascher, C. A. F. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00849 · Cited by 35
Advertising appeals effectiveness: a systematic literature review
Yousef, M., Rundle-Thiele, S. R., & Dietrich, T. (2021) · Health Promotion International · doi:10.1093/heapro/daab204 · Cited by 35
Metrics in action: how social media metrics shape news production on Facebook
Mukerjee, S., Tian, Y., & Peng, Y. (2023) · Journal of Communication · doi:10.1093/joc/jqad012 · Cited by 44
Dialog in the echo chamber: Fake news framing predicts emotion, argumentation and dialogic social knowledge building in subsequent online discussions
Scheibenzuber, C., Neagu, L.-M., Ruşeţi, Ş., Artmann, B., Bartsch, C., Kubik, M., Dascălu, M., Trăușan-Matu, Ș., & Nistor, N. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107587 · Cited by 41
Primacy effect of emotions in social stories: User engagement behaviors with breast cancer narratives on Facebook
Zhao, X., Wang, X., Ma, Z., & Ma, R. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107405 · Cited by 33
The influence of empathy and self-presentation on engagement with social networking website posts
Mayshak, R., Sharman, S. J., Zinkiewicz, L., & Hayley, A. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.02.026 · Cited by 33
Hearing Stories That Violate Expectations Leads to Emotional Broadcasting
Harber, K. D., Podolski, P., & Dyer, L. (2013) · Journal of Language and Social Psychology · doi:10.1177/0261927x13502793 · Cited by 32
Nasty Politics
Zeitzoff, T. (2023) · doi:10.1093/oso/9780197679487.001.0001 · Cited by 33
What Gets Shared, and Why? Interpersonal Communication and Word of Mouth
Berger, J. A. (2024) · Annual Review of Psychology · doi:10.1146/annurev-psych-013024-031524 · Cited by 40
Self-citation
Why rebuttals may not work: the psychology of misinformation
Ecker, U. K. H. (2017) · Media Asia · doi:10.1080/01296612.2017.1384145 · Cited by 35
Examining the Impact of Television-Program-Induced Emotions on Online Word-of-Mouth Toward Television Advertising
Nian, T., Hu, Y., & Chen, C. (2021) · Information Systems Research · doi:10.1287/isre.2020.0985 · Cited by 32
Viral Video Ads: Examining Motivation Triggers to Sharing
Nikolinakou, A., & King, K. W. (2018) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.2018.1428247 · Cited by 33
On Brands and Word-of-MouthPreprint
Peres, R., Shachar, R., & Lovett, M. J. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1968602 · Cited by 41
Getting their Voice Heard: Chinese Environmental NGO’s Weibo Activity and Information Sharing
Zhang, N., & Škorić, M. M. (2020) · Environmental Communication · doi:10.1080/17524032.2020.1758184 · Cited by 31
What Makes News Sharable on Social Media?
Chen, X., Pennycook, G., & Rand, D. G. (2023) · Journal of Quantitative Description Digital Media · doi:10.51685/jqd.2023.007 · Cited by 38
Predicting affective choice.
Suri, G., Sheppes, G., & Gross, J. J. (2012) · Journal of Experimental Psychology General · doi:10.1037/a0029900 · Cited by 32
Incentives Can Reduce Bias in Online Reviews
Marinescu, I., Klein, N., Chamberlain, A., & Smart, M. (2018) · National Bureau of Economic Research · doi:10.3386/w24372 · Cited by 32
Surprise, Recipes for Surprise, and Social Influence
Loewenstein, J. (2018) · Topics in Cognitive Science · doi:10.1111/tops.12312 · Cited by 34
Categorical versus dimensional thinking: improving anti-stigma campaigns by matching health message frames and implicit worldviews
Meyer, J., de Ruyter, K., Grewal, D., Cleeren, K., Keeling, D. I., & Motyka, S. (2019) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00673-7 · Cited by 30
Cultural dynamics
Kashima, Y. (2015) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2015.10.019 · Cited by 31
Fired Up for the Future: How Time Shapes Sharing
Weingarten, E., & Berger, J. A. (2017) · Journal of Consumer Research · doi:10.1093/jcr/ucx041 · Cited by 31
Self-citation
Bias and High-Dimensional Adjustment in Observational Studies of Peer EffectsPreprint
Eckles, D., & Bakshy, E. (2022) · DSpace@MIT (Massachusetts Institute of Technology) · doi:10.6084/m9.figshare.12851349.v6 · Cited by 34
Informational vs. emotional B2B firm-generated-content on social media engagement: Computerized visual and textual content analysis
Gu, W., Chan, K. W., Kwon, J., Dhaoui, C., & Septianto, F. (2023) · Industrial Marketing Management · doi:10.1016/j.indmarman.2023.04.012 · Cited by 43
Going Back in Time to Predict the Future - The Complex Role of the Data Collection Period in Social Media Analytics
Stieglitz, S., Meske, C., Roß, B., & Mirbabaie, M. (2018) · Information Systems Frontiers · doi:10.1007/s10796-018-9867-2 · Cited by 32
Emotion in Cultural Dynamics
Kashima, Y., Coman, A., Pauketat, J. V. T., & Yzerbyt, V. Y. (2019) · Emotion Review · doi:10.1177/1754073919875215 · Cited by 36
An Agent-Based Model of Opinion Polarization Driven by Emotions
Schweitzer, F., Kriváchy, T., & García, D. (2020) · Complexity · doi:10.1155/2020/5282035 · Cited by 32
Consumer sentiments toward brands: the interaction effect between brand personality and sentiments on electronic word of mouth
Lopez, A., Guerra-Leal, E. M., González, B. G., & Madero, S. (2020) · Journal of Marketing Analytics · doi:10.1057/s41270-020-00085-5 · Cited by 36
A Laughing Matter? How Humor in Alcohol Ads Influences Interpersonal Communication and Persuasion
Hendriks, H., & Strick, M. (2019) · Health Communication · doi:10.1080/10410236.2019.1663587 · Cited by 28
The power of anger: How emotions predict information seeking and sharing after a presidential election
Hoewe, J., & Parrott, S. (2019) · Atlantic Journal of Communication · doi:10.1080/15456870.2019.1614925 · Cited by 27
Multimodal Learning toward Micro-Video Understanding
Nie, L., Liu, M., & Song, X. (2019) · Synthesis lectures on image, video, and multimedia processing · doi:10.2200/s00938ed1v01y201907ivm020 · Cited by 38
How emergency managers engage Twitter users during disasters
Xu, Z. (2020) · Online Information Review · doi:10.1108/oir-08-2019-0275 · Cited by 27
Health claims’ text clarity, perceived healthiness of extra-virgin olive oil, and arousal: An experiment using FaceReader
Pichierri, M., Peluso, A. M., Pino, G., & Guido, G. (2021) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2021.05.032 · Cited by 27
Millions and Billions of Views: Understanding Popular Science and Knowledge Communication on Video-Sharing Platforms
Xia, H., Ng, H. X., Chen, Z., & Hollan, J. D. (2022) · ACM Conference on Learning @ Scale (L@S) · doi:10.1145/3491140.3528279 · Cited by 27
The Effectiveness of Brand- and Customer-Centric Content Strategies at Generating Shares, ‘Likes’, and Comments
Chwiałkowska, A. (2018) · Journal of Promotion Management · doi:10.1080/10496491.2018.1443307 · Cited by 34
How to communicate cyber-risk? An examination of behavioral recommendations in cybersecurity crises
Zhang, X. A., & Borden, J. (2019) · Journal of Risk Research · doi:10.1080/13669877.2019.1646315 · Cited by 27

Authors: Berger, J.
Affiliations: University of Pennsylvania (US)
Corresponding author: Berger, Jonah
ORCID: Berger, Jonah
Venue: Psychological Science
Publisher: SAGE Publications
Published: 2011-06-20
Volume: 22
Issue: 7
Pages: 891-893
ISSN: 0956-7976 (ISSN-L)
1467-9280
DOI: 10.1177/0956797611413294
OpenAlex: W1977614311
Cited by: 600
References: 15
Citations by year: 2026: 31 · 2025: 50 · 2024: 41 · 2023: 63 · 2022: 54 · 2021: 53 · 2020: 60 · 2019: 51 · 2018: 36 · 2017: 36 · 2016: 34 · 2015: 37 · 2014: 21 · 2013: 22 · 2012: 7
FWCI: 35.31
Type: journal article
Language: en
Open access: green
papers.ssrn.com
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Psychological Science (publishedVersion)
PubMed (publishedVersion)
SSRN Electronic Journal (submittedVersion)
Topics: Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
Social Sciences › Communication › Media Influence and Health
Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
Keywords: social transmission, arousal, interpersonal communication, information sharing, gossip, cultural diffusion, stereotypes, decision-making, well-being
MeSH terms: Arousal, Communication, Emotions, Humans, Motor Activity, Social Behavior

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Arousal Increases Social Transmission of Information

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks