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 accessAbstract
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?
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“High-arousal emotions, whether they are positive (e.g., awe) or negative (e.g., anger or outrage), contribute to the sharing of content online (16–20).”
From Out-group animosity drives engagement on social media (2021) · cites this paper as [16]
In the citing paper
“content that evokes high-arousal emotions is more viral (Berger, 2011;Berger & Milkman, 2009;Berger & Milkman, 2013;Goel et al., 2015;Milkman & Berger, 2014)”
From The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions (2022) · cites this paper as Berger, 2011
Citations
Cites
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
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
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.
Cited by
Sorted by citations
Items 301–400 of 599
Gao, Q., & Chen, Y. (2021) · Wiley eBooks · doi:10.1002/9781119636113.ch45 · Cited by 12
Emotion, Information Sharing, and Social Media
Hasell, A., & Nabi, R. L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780197520536.003.0020 · Cited by 12
Emotion, Affective Polarization, and Online Communication
Fischer, S. A., & Yphtach Lelkes, B. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780197520536.003.0021 · Cited by 10
Predicting video virality and viewer engagement: a biometric data and machine learning approach
Bačić, D., & Gilstrap, C. A. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2260894 · Cited by 12
Sen, S. (., Gorgoglione, M., & Panniello, U. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2025.115257 · Cited by 11
Lee, S., Holden, D., & Ayers, S. (2015) · Women and Birth · doi:10.1016/j.wombi.2015.07.010 · Cited by 10
Online Social Behavior in Twitter: A Literature Review
Aarts, O. A. J., van Maanen, P.-P., Ouboter, T., & Schraagen, J. M. (2012) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2012.139 · Cited by 11
Kashima, Y. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780190679743.003.0005 · Cited by 13
Wen, X., Kim, S., & Bowen, M. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.113510 · Cited by 10
Buzzetto-More, N. A., Johnson, R. B., & Elobaid, M. (2015) · Interdisciplinary Journal of e-Skills and Lifelong Learning · doi:10.28945/2167 · Cited by 10
Wirkung innovativer Onlinewerbung
Fahr, A., & Bell, M. (2015) · Springer eBooks · doi:10.1007/978-3-531-18916-1_15 · Cited by 10
Leonhardt, J. M. (2015) · Journal of digital & social media marketing. · doi:10.69554/ilbl3557 · Cited by 10
Bucy, E. P., & Newhagen, J. E. (2019) · doi:10.1093/oso/9780190900250.003.0014 · Cited by 10
Discovering underlying sensations of human emotions based on social media
Lee, J., Jatowt, A., & Kim, K. (2020) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24414 · Cited by 10
Affect and the Expression of Emotions on the Internet: An Overview of Current Research
Serrano-Puche, J. (2019) · Springer eBooks · doi:10.1007/978-94-024-1555-1_45 · Cited by 10
Wusylko, C., Weisberg, L. R., Opoku, R. A., Abramowitz, B., Williams, J., Xing, W., Vu, T., & Vu, M. (2024) · Journal of Research on Technology in Education · doi:10.1080/15391523.2023.2266518 · Cited by 9
Eyes that Lead: The charismatic influence of gaze signaling on employee approval and extra-effort
Liegl, S., Maran, T. K., Kraus, S., Furtner, M. R., & Sachse, P. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114861 · Cited by 9
Measuring User Influence, Susceptibility and Cynicalness in Sentiment Diffusion
Lee, R. K.-W., & Lim, E. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16354-3_45 · Cited by 9
Is there a need for speed? Fast animation as context increases product trial intent and self-focus
Duff, B. R. L., & Sar, S. (2015) · International Journal of Advertising · doi:10.1080/02650487.2014.993793 · Cited by 9
The Location of Maximum Emotion in Deceptive and Truthful Texts
Sepehri, A. A., Markowitz, D. M., & Duclos, R. (2020) · Social Psychological and Personality Science · doi:10.1177/1948550620949730 · Cited by 8
Viral Internet Challenges: A Study on the Motivations Behind Social Media User Participation
Shroff, N., Shreyass, G., & Gupta, D. (2020) · Smart innovation, systems and technologies · doi:10.1007/978-981-15-7062-9_30 · Cited by 9
Teixeira, A., & Laureano, R. M. D. S. (2017) · Iberian Conference on Information Systems and Technologies (CISTI) · doi:10.23919/cisti.2017.7975879 · Cited by 9
Twitter and Global Political Crises
O’Loughlin, B., Vaccari, C., Ozgul, B. A., & Dennis, J. (2017) · Middle East Journal of Culture and Communication · doi:10.1163/18739865-01002006 · Cited by 10
Dying to Divulge: The Determinants of, and Relationship Between, Desired and Actual DisclosurePreprint
Carbone, E., & Loewenstein, G. F. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3613232 · Cited by 9
What predicts the initiation and outcomes of interpersonal emotion regulation in everyday life?
Thompson, R. J., Liu, D. Y., & Lai, J. (2024) · Motivation and Emotion · doi:10.1007/s11031-024-10089-8 · Cited by 10
Validation of perceived invalidation of emotion scale (PIES) in Iranian populations
Rezaei, M., Paripishbar, Z., & Khazaei, S. (2024) · Discover Psychology · doi:10.1007/s44202-024-00320-5 · Cited by 8
Cleen, T. D., Baecke, P., & Goedertier, F. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2025.115192 · Cited by 11
Zhang, J., Xu, J., Wang, X., Fan, W., Yao, X., & Yang, Z. (2025) · Production and Operations Management · doi:10.1177/10591478251345136 · Cited by 8
İYİ HABER DE İYİ HABER MİDİR? HABER DEĞERLERİ ÜZERİNE BİR İÇERİK ANALİZİ ÇALIŞMASI
Yüksel, E., Adiyaman, H. K., AYDIN, N., Bilgen, K. U. R. T., ÇELİK, C., KARAOĞLU, E., & DEMİREL, M. (2015) · SELÇUK ÜNİVERSİTESİ İLETİŞİM FAKÜLTESİ AKADEMİK DERGİSİ · doi:10.18094/si.42148 · Cited by 8
Hubner, A. Y., & Dixon, G. (2022) · Human Communication Research · doi:10.1093/hcr/hqac025 · Cited by 8
Modeling Image Virality with Pairwise Spatial Transformer Networks
Dubey, A., & Agarwal, S. (2017) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3123266.3123333 · Cited by 8
Does an image facilitate the sharing of negative news on social media? An experimental investigation
Zhang, X., Tan, H., Yin, C., & Shi, D. (2021) · Library & Information Science Research · doi:10.1016/j.lisr.2021.101120 · Cited by 8
Assessing Mechanisms Underlying the Sharing of Official and Unofficial Information during a Pandemic
Tsang, S. J., Zhao, X., & Chen, Y.-R. R. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182413298 · Cited by 8
Carbone, E., & Loewenstein, G. F. (2022) · Consumer Psychology Review · doi:10.1002/arcp.1086 · Cited by 10
The Language and News Values of ‘Most Highly Shared’ News
Bednarek, M. A. (2019) · Springer eBooks · doi:10.1007/978-3-030-17906-9_6 · Cited by 8
Women's emotion work on Facebook: Strategic use of emotions in public discourse
Sakariassen, H. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100148 · Cited by 9
Biased Information Transmission in Investor Social Networks: Evidence From Professional TradersPreprint
Lane, J. N., Lim, S. S., & Uzzi, B. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3956040 · Cited by 8
When and how to share? The role of inspiration
Xia, W., & Li, L. M. W. (2022) · The Journal of Social Psychology · doi:10.1080/00224545.2022.2080038 · Cited by 7
Risk analysis of disinformation weaponized against critical networks
Barker, K., Bessarabova, E., Radhakrishnan, S., González, A. D., Weber, M., Ramirez-Marquez, J., Vorobeychik, Y., & Jiang, J. N. (2025) · Risk Analysis · doi:10.1111/risa.70062 · Cited by 7
Chiang, S., Knapp, K. S., Bai, S., Cleveland, H. H., & Harris, K. S. (2022) · Addiction Research & Theory · doi:10.1080/16066359.2022.2102611 · Cited by 7
Collaborative Remembering and Collective Memory
Rajaram, S. (2024) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190917982.013.75 · Cited by 7
Koch, O. F. (2015) · TUbilio (Technical University of Darmstadt) · doi:10.18151/7217394 · Cited by 8
Steinfeld, N., & Lev‐On, A. (2018) · Advances in civil and industrial engineering book series · doi:10.4018/978-1-5225-5999-3.ch002 · Cited by 7
Social Exclusion Shifts Personal Network Scope
Bayer, J., Hauser, D., Shah, K. M., O’Donnell, M. B., & Falk, E. B. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01619 · Cited by 7
An application of health-portals to improve electronic listening
Cegarra‐Navarro, J., Cepeda‐Carrión, G., Wensley, A. K. P., & Sánchez-Casado, N. (2013) · Service Industries Journal · doi:10.1080/02642069.2013.815730 · Cited by 7
Xu, X., & Lin, C. A. (2024) · Vaccines · doi:10.3390/vaccines12101096 · Cited by 6
Li, M., Yu, Y., Liu, X., Wu, J., Wang, Q., & Hu, Y. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100805 · Cited by 8
Meng, Y., Park, S.-C., & Um, G. (2025) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2025.104560 · Cited by 8
Doehring, K., Cole, C., Young, R. G., & Longnecker, N. E. (2023) · Frontiers in Communication · doi:10.3389/fcomm.2022.1061634 · Cited by 6
Rao, V. K., Valdez, D., Muralidharan, R., Agley, J. D., Eddens, K. S., Dendukuri, A., Panth, V., & Parker, M. A. (2024) · Journal of Medical Internet Research · doi:10.2196/57885 · Cited by 6
Legitimating language and emotional tone in antenarratives: A cultural entrepreneurship perspective
Phillips, D., Moore, C. B., & Rutherford, M. W. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114988 · Cited by 6
Wilson, H., Rauwolf, P., & Bryson, J. J. (2020) · SAGE Publications Ltd eBooks · doi:10.4135/9781529739428.n17 · Cited by 6
Patterns of Emotional Tweets: The Case of Brexit After the Referendum Results
Bouko, C., & García, D. (2020) · Springer eBooks · doi:10.1007/978-3-030-41421-4_8 · Cited by 6
Cloos, J. (2021) · management revue · doi:10.5771/0935-9915-2021-3-152 · Cited by 6
Chao, F., Wang, X., & Yu, G. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.783415 · Cited by 7
Wusylko, C., Boehm, S. M., Dawson, K., & Kohnen, A. M. (2022) · Journal of Educational Technology Systems · doi:10.1177/00472395221110567 · Cited by 8
From disabled tourists to impaired cyborg tourists: What would it take to transform?
Ali, L., Kılıç, H., & Öztüren, A. (2023) · Universal Access in the Information Society · doi:10.1007/s10209-023-00970-7 · Cited by 9
Analyzing Social Media Activities at Bellingcat
Bär, D., Calderon, F., Lawlor, M., Licklederer, S., Totzauer, M., & Feuerriegel, S. (2023) · ACM Web Science Conference (WebSci) · doi:10.1145/3578503.3583604 · Cited by 6
Echo Chambers or Doom Scrolling? Homophily, Intensity, and Exposure to Elite Social Media Messages
Haselswerdt, J., & Fine, J. A. (2023) · Political Research Quarterly · doi:10.1177/10659129231202969 · Cited by 8
Kwon, J., & Han, I. (2013) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2013.268 · Cited by 6
Automatic multi-lingual arousal detection from voice applied to real product testing applications
Eyben, F., Unfried, M., Hagerer, G., & Schuller, B. W. (2017) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2017.7953139 · Cited by 6
Mediatised Emotions: A Framework for Understanding the Display of Affect in the Network Society
Serrano-Puche, J., & Rojas, L. S. (2019) · Springer eBooks · doi:10.1007/978-3-030-24882-6_3 · Cited by 6
Using Models to Predict Cultural Evolution From Emotional Selection Mechanisms
Eriksson, K., & Strimling, P. (2019) · Emotion Review · doi:10.1177/1754073919890914 · Cited by 6
Jähn, S., & Zanger, C. (2013) · Springer eBooks · doi:10.1007/978-3-658-01248-9_12 · Cited by 6
An agent-based model of opinion polarization driven by emotionsPreprint
Schweitzer, F., Kriváchy, T., & García, D. (2020) · doi:10.31235/osf.io/8m2wq · Cited by 6
Bai, S., Sun, T., & He, H. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1436494 · Cited by 5
Kiers, H. A. L., & Tendeiro, J. N. (2025) · Advances in Methods and Practices in Psychological Science · doi:10.1177/25152459251365960 · Cited by 5
Exploring emotion bursts: how micro-features of videos trigger spikes in travel intentions
Ma, X., Lin, Y., Ye, Q., & Xia, H. (2025) · Asia Pacific Journal of Tourism Research · doi:10.1080/10941665.2025.2577858 · Cited by 5
Fang, X., Zhu, Z. A., Li, W., & Liu, F. (2026) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2026.104856 · Cited by 5
Sener, B., Akpınar, E., & Ataman, M. B. (2023) · Scientific Reports · doi:10.1038/s41598-023-41573-9 · Cited by 7
Employing the Sentiment Analysis Tool in NVivo 11 Plus on Social Media Data
Hai-Jew, S. (2016) · Advances in e-business research series · doi:10.4018/978-1-5225-0846-5.ch010 · Cited by 5
Han, Y., Goh, K. Y., Kim, S. H., & Phan, T. Q. (2022) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2022.3157125 · Cited by 5
Collective moderation of hate, toxicity, and extremity in online discussions
Lasser, J., Herderich, A., Garland, J., Aroyehun, S. T., García, D., & Galešić, M. (2025) · PNAS Nexus · doi:10.1093/pnasnexus/pgaf369 · Cited by 5
Using behavioural economics concepts to increase organizational learning in an NHS hospital
Schmidtke, K. A., Vlaev, I., & Baber, K. (2016) · Journal of Organizational Change Management · doi:10.1108/jocm-02-2016-0042 · Cited by 6
Understanding the dynamics of Cyberbully content diffusion using Textual Emotion Mining
Chawla, S., Mehrotra, M., & Rani, S. (2022) · IEEE International Conference for Convergence in Technology (I2CT) · doi:10.1109/i2ct54291.2022.9824773 · Cited by 5
Hanbazazah, A., Reeve, C., & Abuljadail, M. H. (2022) · International Journal of Marketing Studies · doi:10.5539/ijms.v14n2p113 · Cited by 5
Privacy Preferences and the Drive to Disclose
Carbone, E., & Loewenstein, G. F. (2023) · Current Directions in Psychological Science · doi:10.1177/09637214231196097 · Cited by 5
Communication virale dans la publicité au sein des espaces numériques : jeux de données
Roux, U. (2019) · Revue française des sciences de l’information et de la communication · doi:10.4000/rfsic.7784 · Cited by 5
Biased Information Transmission in Investor Social Networks: Evidence from Professional Traders
Lim, S. S., Lane, J. N., & Uzzi, B. (2020) · Academy of Management Proceedings · doi:10.5465/ambpp.2020.18198abstract · Cited by 5
Liu, L., Wang, Y., Fang, Z. Y., & Wu, S. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3920764 · Cited by 5
Let’s Talk About It in the Morning: How Circadian Rhythms Impact Information Sharing on Social Media
Gleasure, R., Saigot, M., & Kanat, I. E. (2024) · Affective Science · doi:10.1007/s42761-024-00254-0 · Cited by 3
Hwang, I.-K., & Lee, H. (2025) · Archives of Design Research · doi:10.15187/adr.2025.08.38.3.51 · Cited by 13
Digital twins are funhouse mirrors: Five systematic distortions
Peng, T., Brucks, M. S., Gui, G., Merlau, D. J., Fan, G. J., Sliman, M. B., Johnson, E. J., Althenayyan, A., Bellezza, S., Donati, D., et al. (2026) · Science Advances · doi:10.1126/sciadv.aeh8260 · Cited by 5
How negativity and policy content drive the spread of political messages
Fine, J. A., Smith, D. H., Oliveira, C., Deas, N., Shellnutt, S., Stotzky, R., & Clyburn, R. (2024) · Journal of Information Technology & Politics · doi:10.1080/19331681.2024.2352475 · Cited by 6
Prowten, S. D., Walker, E., London, B., Pearce, E., Napoli, A., Chenevert, B., Clevenger, C. T., & Smith, A. R. (2024) · Psychological Science · doi:10.1177/09567976241257255 · Cited by 4
Choi, C. (2021) · Journal of Global Scholars of Marketing Science · doi:10.1080/21639159.2020.1808828 · Cited by 3
Emotion and Virality of Food Safety Risk Communication Messages on Social Media
Wang, X., Nan, X., Stanley, S. J., Wang, Y., Waks, L., & Broniatowski, D. A. (2021) · Journal of Applied Communications · doi:10.4148/1051-0834.2391 · Cited by 4
Trend prediction model of online public opinion in emergencies based on fluctuation analysis
Xu, L., Qiu, J., & Zhai, J. (2023) · Natural Hazards · doi:10.1007/s11069-022-05808-8 · Cited by 4
Pedreira, J. F., Chaves, L. A., & Bar, C. M. (2023) · Revista de Comunicación · doi:10.26441/rc22.1-2023-3051 · Cited by 9
DIGITAL NATIVES: MEDIA LITERACY, NEWS CONSUMPTION AND HABITS
Orfanidou, A. G., & Panagiotou, N. S. (2023) · İmgelem · doi:10.53791/imgelem.1380233 · Cited by 4
Using Cognitive Psychology to Understand Anticipated User Experience in Computing Products
Eilu, E. (2017) · Advances in e-business research series · doi:10.4018/978-1-5225-2469-4.ch011 · Cited by 4
Theorizing Social Media: A Formalization of the Multilevel Model of Meme Diffusion 2.0 (M3D2.0)
Spitzberg, B. H. (2021) · Human dynamics in smart cities · doi:10.1007/978-3-030-83010-6_2 · Cited by 4
Reappraising the roles of review valence and conflict in online relationships
Liu, R., Ford, J. B., Zhang, W., & Bonnici, J. L. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114187 · Cited by 5
What Triggers Sharing in Viral Marketing? The Role of Emotion and Social Feature
Li, B., Chong, A. Y., & Ch’ng, E. (2015) · Repository@Nottingham (University of Nottingham) · Cited by 4
Wang, T., hu, M., & Kou, L. (2019) · EAI International Conference on Mobile Multimedia Communications (MobiMedia) · doi:10.4108/eai.29-6-2019.2282013 · Cited by 4
Sharing on Facebook and Face-to-Face What Others Do or Approve: Word-of-Mouth Driven by Social Norms
Zhang, M., Lu, J., & Hallman, W. K. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.712253 · Cited by 6
Rimé, B. (2018) · Emotion Review · doi:10.1177/1754073917719330 · Cited by 6
Incentives Can Reduce Bias in Online ReviewsPreprint
Marinescu, I., Klein, N., Chamberlain, A., & Smart, M. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3092828 · Cited by 4
Audiences as Medium: Motivations and Emotions in News SharingPreprint
Gómez, A. D. (2020) · doi:10.31235/osf.io/ux2hk · Cited by 4
Xue, H., Zhang, J., & Zhang, X. (2025) · Social Media + Society · doi:10.1177/20563051251318172 · Cited by 3
Metadata
- 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
- 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
- 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