Social Media Engagement Anxiety: Triggers in News Agenda
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Substantial evidence suggests that negative posts, such as expressions of dissatisfaction, critique, or concern, elicit more intense emotional responses than positive content, a phenomenon attributed to the well-established negativity bias.
“Substantial evidence suggests that negative posts, 225 such as expressions of dissatisfaction, critique, or concern, elicit more intense emotional 226 responses than positive content, a phenomenon attributed to the well-established 227 negativity bias (Nigmatullina and Rodossky, 2022).”
From Drivers of engagement with influencer posts about tourism destinations on Instagram: the role of number of followers, destination connection and content sentiment (2026) · cites this paper as Nigmatullina and Rodossky, 2022
Cites
Keles, B., McCrae, N., & Grealish, A. (2020) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2019.1590851 · Cited by 1,909 · see citing works
Social network site addiction - An overview
Andreassen, C., & Pallesen, S. (2014) · Current Pharmaceutical Design · doi:10.2174/13816128113199990616 · Cited by 840 · see citing works
Social media use and anxiety in emerging adults
Vannucci, A., Flannery, K. M., & Ohannessian, C. M. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.08.040 · Cited by 623 · see citing works
Social media use, social anxiety, and loneliness: A systematic review
O’Day, E. B., & Heimberg, R. G. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100070 · Cited by 560 · see citing works
Uses and Gratifications of digital photo sharing on Facebook
Malik, A., Dhir, A., & Nieminen, M. (2016) · Telematics and Informatics · doi:10.1016/j.tele.2015.06.009 · Cited by 433 · see citing works
Drouin, M., McDaniel, B. T., Pater, J., & Toscos, T. (2020) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2020.0284 · Cited by 367 · see citing works
Thorisdottir, I. E., Sigurvinsdottir, R., Asgeirsdottir, B. B., Allegrante, J. P., & Sigfusdottir, I. D. (2019) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2019.0079 · Cited by 347 · see citing works
Boursier, V., Gioia, F., Musetti, A., & Schimmenti, A. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.586222 · Cited by 309 · see citing works
Shaw, A. M., Timpano, K. R., Tran, T. B., & Joormann, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.02.003 · Cited by 291 · see citing works
Using Social Media to Our Advantage: Alleviating Anxiety During a Pandemic
Wiederhold, B. K. (2020) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2020.29180.bkw · Cited by 153 · see citing works
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Cited by
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Blanco-Moreno, S., González-Fernández, A. M., & Casaló, L. V. (2026) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-02-2025-0168
- Authors
- Nigmatullina, K., & Rodossky, N.
- Affiliations
- St Petersburg University (RU)
- Corresponding author
- Nigmatullina, Kamilla
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2022
- Pages
- 345-357
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4285184518
- Cited by
- 4
- References
- 10
- Citations by year
- 2026: 2 · 2025: 1 · 2023: 1
- FWCI
- 2.85
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Communication › Media Studies and Communication
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Keywords
- social media engagement, social anxiety, news comments, online comments, digital escapism, emotional triggers, media agenda, local news, VKontakte, regional media, negative emotions
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.
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