The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Showing They Care (Or Don’t): Affective Publics and Ambivalent Climate Activism on TikTok
Open accessAbstract
The microvideo platform TikTok has emerged as a popular hub for self-expression and social activism, particularly for youth, but use of the platform’s affective affordances to spread awareness of important issues has not been adequately studied. Through an exploratory multimodal discourse analysis of a sample of popular climate change-hashtagged TikTok videos, we examine how affordances of visibility, editability, and association facilitate the formation of affective publics on TikTok. We describe how TikTok’s features allow creators to construct and propagate multi-layered, affect-laden messages with varying degrees of earnestness, humor, and ambiguity. Finally, we identify recurring affective themes in popular climate change messages by studying not just in-frame content but also the discursive, intertextual, and memetic linkages that propagate affective publics. Collectively, these audiovisual expressions of personal engagement and awareness demonstrate how media affordances can abet, amplify, and confuse discussions of global issues online. These affordances facilitate a unique kind of activism by helping non-expert users intervene in a discussion that generally takes place among scientists and journalists: the question of how serious a problem climate change is and what to do about it.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Visual methodologies : an introduction to researching with visual materials
Rose, G. (2012) · Cited by 2,286
Treem, J. W., & Leonardi, P. M. (2013) · Annals of the International Communication Association · doi:10.1080/23808985.2013.11679130 · Cited by 1,993
The Routledge Handbook of Multimodal Analysis
Forceville, C. J. (2010) · Journal of Pragmatics · doi:10.1016/j.pragma.2010.03.003 · Cited by 1,655
Massanari, A. (2017) · New Media & Society · doi:10.1177/1461444815608807 · Cited by 1,264
Evans, S. K., Pearce, K. E., Vitak, J., & Treem, J. W. (2017) · Journal of Computer-Mediated Communication · doi:10.1111/jcc4.12180 · Cited by 1,229
Affective publics: sentiment, technology, and politics
Perelló-Sobrepere, M. (2017) · Information, Communication & Society · doi:10.1080/1369118x.2016.1259344 · Cited by 1,140
Media and Cultural Studies: Key Works
(2001) · Reference Reviews · doi:10.1108/rr.2001.15.5.13.261 · Cited by 1,035
Memes in a Digital World: Reconciling with a Conceptual Troublemaker
Shifman, L. (2013) · Journal of Computer-Mediated Communication · doi:10.1111/jcc4.12013 · Cited by 898
Protest in an Information Society: a review of literature on social movements and new ICTs
Kelly Garrett, R. (2006) · Information, Communication & Society · doi:10.1080/13691180600630773 · Cited by 782
Tufekci, Z. (2014) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v8i1.14517 · Cited by 780
Cited by
Cheng, Z., & Li, Y. (2024) · Social Science Computer Review · doi:10.1177/08944393231178603 · Cited by 131
“They are intended to delight viewers and increase participation and have offered a unique way for content creators to boost engagement with their audience (Hautea et al., 2021; Schellewald, 2021).”
Background
Metadata
- Authors
- Hautea, S., Parks, P., Takahashi, B., & Zeng, J.
- Venue
- Social Media + Society
- Publisher
- SAGE Publications
- Published
- 2021-04
- Volume
- 7
- Issue
- 2
- ISSN
- 2056-3051 (ISSN-L)
- OpenAlex
- W3154698811
- Cited by
- 348
- References
- 39
- FWCI
- 72.57
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Showing They Care (Or Don’t): Affective Publics and Ambivalent Climate Activism on TikTok. https://app.cochat.ai/papers/10.1177/20563051211012344
- The paper
- Hautea, S., Parks, P., Takahashi, B., & Zeng, J. (2021). Showing They Care (Or Don’t): Affective Publics and Ambivalent Climate Activism on TikTok. Social Media + Society. https://doi.org/10.1177/20563051211012344
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
