The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Deplatforming: Following extreme Internet celebrities to Telegram and alternative social media
Open accessAbstract
Extreme, anti-establishment actors are being characterized increasingly as ‘dangerous individuals’ by the social media platforms that once aided in making them into ‘Internet celebrities’. These individuals (and sometimes groups) are being ‘deplatformed’ by the leading social media companies such as Facebook, Instagram, Twitter and YouTube for such offences as ‘organised hate’. Deplatforming has prompted debate about ‘liberal big tech’ silencing free speech and taking on the role of editors, but also about the questions of whether it is effective and for whom. The research reported here follows certain of these Internet celebrities to Telegram as well as to a larger alternative social media ecology. It enquires empirically into some of the arguments made concerning whether deplatforming ‘works’ and how the deplatformed use Telegram. It discusses the effects of deplatforming for extreme Internet celebrities, alternative and mainstream social media platforms and the Internet at large. It also touches upon how social media companies’ deplatforming is affecting critical social media research, both into the substance of extreme speech as well as its audiences on mainstream as well as alternative platforms.
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
Automated Hate Speech Detection and the Problem of Offensive Language
Davidson, T., Warmsley, D., Macy, M., & Weber, I. (2017) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v11i1.14955 · Cited by 2,610
Proceedings of the ACM on Human-Computer Interaction
Karahalios, K. G., Monroy‐Hernández, A., Lampinen, A., & Fitzpatrick, G. (2018) · Cited by 1,070
Imagined Affordance: Reconstructing a Keyword for Communication Theory
Nagy, P., & Neff, G. (2015) · Social Media + Society · doi:10.1177/2056305115603385 · Cited by 756
What is Gab: A Bastion of Free Speech or an Alt-Right Echo Chamber
Zannettou, S., Bradlyn, B., De Cristofaro, E., Kwak, H., Sirivianos, M., Stringini, G., & Blackburn, J. (2018) · Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18 · doi:10.1145/3184558.3191531 · Cited by 209
What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber?
Zannettou, S., Bradlyn, B., Cristofaro, E. D., Kwak, H., Sirivianos, M., Stringhini, G., & Blackburn, J. (2018) · Singapore Management University Institutional Knowledge (InK) (Singapore Management University) · doi:10.48550/arxiv.1802.05287 · Cited by 202
In The Time of the Microcelebrity: Celebrification and the YouTuber Zoella
Jerslev, A. (2016) · Research at the University of Copenhagen (University of Copenhagen) · Cited by 180
Shapiro, J. N. (2013) · Princeton University Press eBooks · doi:10.1515/9781400848645 · Cited by 168
Encrypted Jihad: Investigating the Role of Telegram App in Lone Wolf Attacks in the West
Shehabat, A., Mitew, T., & Alzoubi, Y. I. (2017) · Journal of Strategic Security · doi:10.5038/1944-0472.10.3.1604 · Cited by 77
Semenzin, S., & Bainotti, L. (2020) · doi:10.31235/osf.io/v4f63 · Cited by 8
Cited by
False equivalencies: Online activism from left to right
Freelon, D., Marwick, A., & Kreiss, D. (2020) · Science · doi:10.1126/science.abb2428 · Cited by 281
What they do in the shadows: examining the far-right networks on Telegram
Urman, A., & Katz, S. (2022) · Information, Communication & Society · doi:10.1080/1369118x.2020.1803946 · Cited by 259
Evaluating the Effectiveness of Deplatforming as a Moderation Strategy on Twitter
Jhaver, S., Boylston, C., Yang, D., & Bruckman, A. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3479525 · Cited by 169
Quarantined! Examining the Effects of a Community-Wide Moderation Intervention on Reddit
Chandrasekharan, E., Jhaver, S., Bruckman, A., & Gilbert, E. (2022) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3490499 · Cited by 129
Understanding the Effect of Deplatforming on Social Networks
Ali, S., Saeed, M. H., Aldreabi, E., Blackburn, J., De Cristofaro, E., Zannettou, S., & Stringhini, G. (2021) · 13th ACM Web Science Conference 2021 · doi:10.1145/3447535.3462637 · Cited by 109
Metadata
- Authors
- Rogers, R.
- Venue
- European Journal of Communication
- Publisher
- SAGE Publications
- Published
- 2020-05-06
- Volume
- 35
- Issue
- 3
- Pages
- 213-229
- ISSN
- 0267-3231 (ISSN-L)
- 1460-3705
- OpenAlex
- W3023550547
- Cited by
- 441
- References
- 9
- FWCI
- 71.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Deplatforming: Following extreme Internet celebrities to Telegram and alternative social media. https://app.cochat.ai/papers/10.1177/0267323120922066
- The paper
- Rogers, R. (2020). Deplatforming: Following extreme Internet celebrities to Telegram and alternative social media. European Journal of Communication. https://doi.org/10.1177/0267323120922066
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.
