The DOI matches its Crossref record; 35 of the 46 references it cites were found in a registry or an index.
Political Astroturfing on Twitter: How to Coordinate a Disinformation Campaign
Open accessAbstract
Political astroturfing, a centrally coordinated disinformation campaign in which participants pretend to be ordinary citizens acting independently, has the potential to influence electoral outcomes and other forms of political behavior. Yet, it is hard to evaluate the scope and effectiveness of political astroturfing without “ground truth” information, such as the verified identity of its agents and instigators. In this paper, we study the South Korean National Information Service’s (NIS) disinformation campaign during the presidential election in 2012, taking advantage of a list of participating accounts published in court proceedings. Features that best distinguish these accounts from regular users in contemporaneously collected Twitter data are traces left by coordination among astroturfing agents, instead of the individual account characteristics typically used in related approaches such as social bot detection. We develop a methodology that exploits these distinct empirical patterns to identify additional likely astroturfing accounts and validate this detection strategy by analyzing their messages and current account status. However, an analysis relying on Twitter influence metrics shows that the known and suspect NIS accounts only had a limited impact on political social media discussions. By using the principal-agent framework to analyze one of the earliest revealed instances of political astroturfing, we improve on extant methodological approaches to detect disinformation campaigns and ground them more firmly in social science theory.
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“For Keller et al. (2020), another key characteristic of astroturfing is its reliance on centralized coordination, especially for disseminating and sharing information”
From Beyond Verification| Inauthentic Authenticity: Astroturfing to Generate True Affect Using Fakery (2026) · cites this paper as Keller et al., 2020
In the citing paper
“Astroturfing is most frequently equated with political or commercial communications strategy”
From Beyond Verification| Inauthentic Authenticity: Astroturfing to Generate True Affect Using Fakery (2026) · cites this paper as Keller et al., 2020
In the citing paper
“Traditional social bots often follow pre-defined instructions to perform simplistic tasks, such as spamming (Yang et al., 2019), following others, and amplifying certain narratives (Keller et al., 2020).”
From Anatomy of an AI-powered malicious social botnet (2024) · cites this paper as Keller et al., 2020
Citations
Cites
The spread of true and false news online
Vosoughi, S., Roy, D., & Aral, S. (2018) · Science · doi:10.1126/science.aap9559 · Cited by 8,847
Social Media and Fake News in the 2016 Election
Allcott, H., & Gentzkow, M. (2017) · Journal of Economic Perspectives · doi:10.1257/jep.31.2.211 · Cited by 6,767 · cited 1×
“…level have become more influential, political actors such as governments (King, Pan, & Roberts, 2017; Lukito et al., 2018), hyperpartisan media (Allcott & Gentzkow, 2017; Faris et al., 2017), far-right groups (Marwick & Lewis, 2017) or actors with economic motives (Silverman & Alexander, 2016)…”
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“…a “social movement grows when people with grievances meet, agree on a common agenda, and organize for political action” (Howard, 2006, p. 86; see also Bennett & Segerberg, 2013), an astroturfing campaign tries to appear like such an organic expression of public opinion, but is actually centrally…”
BackgroundDirect Clustering of a Data Matrix
Hartigan, J. (1972) · Journal of the American Statistical Association · doi:10.1080/01621459.1972.10481214 · Cited by 1,255 · cited 2×
“, they tweet on the same days – and groups them together (Hartigan, 1972).”
BackgroundWeaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate
Broniatowski, D. A., Jamison, A. M., Qi, S., AlKulaib, L., Chen, T., Benton, A., Quinn, S. C., & Dredze, M. (2018) · American Journal of Public Health · doi:10.2105/ajph.2018.304567 · Cited by 1,149 · cited 1×
“Tweets posted by known and suspect NIS accounts should reflect these goals and strategies, and therefore differ significantly from those posted by regular users, political users, and opinion leaders (Broniatowski et al., 2018).”
BackgroundKING, G., PAN, J., & ROBERTS, M. E. (2017) · American Political Science Review · doi:10.1017/s0003055417000144 · Cited by 1,028 · cited 3×
“In order to prevent this type of shirking, the principal may opt for constant and direct supervision by physically locating all agents in the same office – as done by the “Russian troll factories”(3) – or at least hire them to work during office hours instead of paying by post, as the eponymous “50 cent party” alleged…”
BackgroundMethodInfluentialThe Hybrid Media System: Politics and Power
Chadwick, A. (2013) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199759477.001.0001 · Cited by 1,000 · cited 2×
“Social media also have the potential to set the news agenda (Chadwick, 2013; Neuman, Guggenheim, Jang, & Bae, 2014) as journalists pay close attention to social media buzz (Lukito et al.”
BackgroundOnline Human-Bot Interactions: Detection, Estimation, and Characterization
Varol, O., Ferrara, E., Davis, C., Menczer, F., & Flammini, A. (2017) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v11i1.14871 · Cited by 981
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THE POLITICAL EVOLUTION OF PRINCIPAL-AGENT MODELS
Miller, G. J. (2005) · Annual Review of Political Science · doi:10.1146/annurev.polisci.8.082103.104840 · Cited by 895 · cited 1×
“To better understand how the patterns of the two types of campaigns should differ, we turn to principal-agent theory (Miller, 2005; Ross, 1973).”
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Items 101–200 of 313
Thelwall, M. A., Thelwall, S., & Fairclough, R. (2021) · Journal of Data and Information Science · doi:10.2478/jdis-2021-0018 · Cited by 12
“The focus is on the UK because whilst the UK and USA both have large numbers of Tweeters, extensive astroturfing (Keller et al., 2020) seems likely in the USA in 2020 in the run up to the presidential election.”
On Goodhart's law, with an application to value alignmentPreprint
El-Mhamdi, E.-M., & Hoang, L.-N. (2024) · arXiv (Cornell University) · doi:10.48550/arxiv.2410.09638 · Cited by 18
“Having said this, the risk of emergence of some power law discrepancy seems larger if the algorithm is also learning from the future inputs given by the environment, especially if such inputs are adversarial (see [KSSY19] for an example of attacks on algorithms).”
BackgroundNavigating the Post-API Dilemma
Poudel, A., & Weninger, T. (2024) · International World Wide Web Conference (WWW) · doi:10.1145/3589334.3645503 · Cited by 12
“In both cases we are confident that the collected samples are nearly complete within a specific time window.”
Araújo, M., Ferreira, C. H., Reis, J. C. S., Silva, A. P. C., & Almeida, J. M. (2023) · Anais do XII Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2023) · doi:10.5753/brasnam.2023.229879 · Cited by 11
“Uma parte significativa desses esforços se concentra em analisar a disseminação de conteúdo polı́tico no Twitter [Pacheco et al. 2020, Keller et al. 2020, Grimminger and Klinger 2021], identificando e caracterizando ações coordenadas para promover conteúdo polı́tico por meio de modelos de…”
BackgroundA pro-government disinformation campaign on Indonesian Papua
McRae, D., Quiroga, M. D. M., Russo-Batterham, D., & Doyle, K. (2022) · Harvard Kennedy School Misinformation Review · doi:10.37016/mr-2020-108 · Cited by 11
von Sikorski, C., & Hameleers, M. (2025) · Journalism & Mass Communication Quarterly · doi:10.1177/10776990251375097 · Cited by 8
“For example, beyond orchestrated political disinformation campaigns (e.g., Keller et al., 2019; Krafft & Donovan, 2020), AI-disinformation may be used in interpersonal communication (i.e., WhatsApp ) and used to harm specific individuals in one’s own network.”
Küpfer, A. (2024) · Political Analysis · doi:10.1017/pan.2024.7 · Cited by 13
Pohl, J., Markmann, S., Assenmacher, D., & Grimme, C. (2023) · International Conference on Web and Social Media · doi:10.1609/icwsm.v17i1.22217 · Cited by 10
“Information warfare often involves dis-information campaigns, which can be carried out by very different means – from automation to (state) coordination of human actors (Metaxas and Mustafaraj 2012; Grimme et al. 2017; Keller et al. 2020).”
BackgroundElmas, T. (2023) · International World Wide Web Conference (WWW) · doi:10.1145/3543873.3587650 · Cited by 5
“Adversaries may employ fake accounts to interact with some content to give the impression that the content is popular, a deceptive strategy that is similar to political astroturfing [16].”
BackgroundMapping state-sponsored information operations with multi-view modularity clustering
Uyheng, J., Cruickshank, I. J., & Carley, K. M. (2022) · EPJ Data Science · doi:10.1140/epjds/s13688-022-00338-6 · Cited by 10
“This conceptual framework synthesizes and aligns with a diverse collection of research strands which examine the framing strategies of information operations and their concerted control of information flow to shape who hears what message and from whom [5, 14, 36, 38].”
BackgroundComunicación y desinformación en elecciones: tendencias de investigación en España y Portugal
Rivas-de-Roca, R., Morais, R., & Jerónimo, P. (2022) · Universitas · doi:10.17163/uni.n36.2022.03 · Cited by 10
“De hecho, Twitter ha sido objeto de varias campañas de desinformación durante períodos electorales, que se caracterizaron por el uso masivo de bots (Keller et al., 2020).”
BackgroundTactical Reframing of Online Disinformation Campaigns Against The Istanbul Convention
Elmas, T., Overdorf, R., & Aberer, K. (2021) · ICWSM Workshops · doi:10.36190/2021.42 · Cited by 10
“Disinformation campaigns on social media employ accounts with coordinated behaviour (Keller et al. 2020; Elmas et al. 2021).”
BackgroundFinding and Characterizing Information Warfare Campaigns
Beskow, D. M. (2020) · Figshare · doi:10.1184/r1/12303089.v1 · Cited by 10
“Researchers have looked at disinformation in the 2012 Korean Presidential Elections [137], 2016 US Elections [39, 193, 265], the French National Elections [92], the Brexit Vote [130] as well as other events.”
BackgroundStrategic Information Operation in YouTube: The Case of the White Helmets
Choudhury, N., Ng, K. W., & Iamnitchi, A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-61255-9_31 · Cited by 7
Naranjo-Vinueza, A., Martín, S. C., González, M. C., & Moreno, P. T. N.-B. (2025) · Frontiers in Political Science · doi:10.3389/fpos.2025.1666104 · Cited by 7
Attributing coordinated social media manipulation: A theoretical model and typology
Thiele, D., Milzner, M., Heft, A., Gong, B., & Pfetsch, B. (2025) · New Media & Society · doi:10.1177/14614448251350100 · Cited by 7
“CSMM campaigns are often organized centrally, ‘initiated by a principal directly instructing a group of users who respond to extrinsic rewards—the agents’ (Keller et al., 2020: 259).”
InfluentialFeng, M., Carter, C. C., Page, S., Emery, S., Tran, H., & Kostygina, G. (2025) · Journal of Health Communication · doi:10.1080/10810730.2025.2462682 · Cited by 9
“As part of the opposition efforts to undermine health campaigns, the principals of anti-tobacco control astroturfing (e.g., the tobacco industry) can rely on automated or human agents (e.g., advocates) to disseminate anti-tobacco control messages (Keller et al., 2019).”
Kulichkina, A., Righetti, N., & Waldherr, A. (2024) · New Media & Society · doi:10.1177/14614448241254126 · Cited by 10
“Similar observations were reported by Keller et al. (2020), who attributed this tendency to the division of astroturfing agents into smaller teams operating in various Internet cafes to orchestrate a disinformation campaign.”
InfluentialPost-hoc Evaluation of Nodes Influence in Information Cascades: The Case of Coordinated Accounts
Marco, N. D., Brunetti, S., Cinelli, M., & Quattrociocchi, W. (2024) · ACM Transactions on the Web · doi:10.1145/3700644 · Cited by 8
“…CIB, CB, and social bots (i.e., software agents that communicate autonomously on social media and other platforms, having different uses and purposes [20–23]) may have played a role in relevant events [24] such as political elections [25–27], and in disseminating false information [28–32].”
QAnon Propaganda on Twitter as Information Warfare: Influencers, Networks, and Narratives
Dilley, L., Welna, W., & Foster, F. (2022) · arXiv.org · doi:10.48550/arxiv.2207.05118 · Cited by 9
“Identifying astroturfing campaigns is challenging without ground truth information; Keller et al. (2020) provide evidence that coordinated group activity is a robust hallmark of astroturfing.”
BackgroundInfluentialAre Mutated Misinformation More Contagious? A Case Study of COVID-19 Misinformation on Twitter
Yan, M., Lin, Y., & Chung, W. (2022) · ACM Web Science Conference (WebSci) · doi:10.1145/3501247.3531562 · Cited by 7
“Keller et al. [25] suggested that misinformation may be propagated as a “Centrally Organized Message Coordination” in which fake or biased digital news can be amplified on the social media by different methods such as maneuvered passive re-sharing or fabricated comments by opinion leaders [19].”
BackgroundIn-context learning for propaganda detection on Twitter Mexico using large language model meta AI
Piña-García, C. A. (2025) · Telematics and Informatics Reports · doi:10.1016/j.teler.2025.100232 · Cited by 5
From Fake News to Real Protests: WhatsApp's Role in Brazilian Political Coordination
Kansaon, D., Melo, P. D. F., Zannettou, S., & Benevenuto, F. (2025) · International Conference on Web and Social Media · doi:10.1609/icwsm.v19i1.35857 · Cited by 8
“First, we selected a 60-second time window 4 to define rapid actions, allowing us to identify potential coordination by users acting simultaneously (Keller et al. 2020).”
Hermawan, A. (2024) · Critical Asian Studies · doi:10.1080/14672715.2024.2397632 · Cited by 8
Social Bots: Detection and Challenges
Yang, K.-C., Varol, O., Nwala, A. C., Sayyadiharikandeh, M., Ferrara, E., Flammini, A., & Menczer, F. (2023) · arXiv.org · doi:10.48550/arxiv.2312.17423 · Cited by 8
Advocacy strategies in state preemption: The case of energy fuel bans
Struthers, C. L., & Ritzler, C. (2023) · Policy Studies Journal · doi:10.1111/psj.12517 · Cited by 9
The influence of coordinated behavior on toxicity
Loru, E., Cinelli, M., Tesconi, M., & Quattrociocchi, W. (2024) · Online Social Networks and Media · doi:10.1016/j.osnem.2024.100289 · Cited by 10
“However, it has become evident that benign actors, such as activists, are using similar techniques and malicious actors are engaged in political astroturfing [24] and the dissemination of inappropriate content.”
BackgroundRivas-de-Roca, R., Curiel, C. P., & Casero-Ripollés, A. (2023) · European Journal of Communication · doi:10.1177/02673231231197032 · Cited by 12
Bailo, F., Johns, A., & Rizoiu, M.-A. (2023) · Information Communication & Society · doi:10.1080/1369118x.2023.2205479 · Cited by 23
Horawalavithana, S., Silva, R. D., Weerasekara, N., Ng, K. W., Nabeel, M., Abayaratna, B., Elvitigala, C., Wijesekera, P., & Iamnitchi, A. (2022) · Computational and Mathematical Organization Theory · doi:10.1007/s10588-022-09370-3 · Cited by 10
Uncovering Coordinated Communities on Twitter During the 2020 U.S. Election
Linhares, R. S., da Rosa, J. M., Ferreira, C. H. G., Murai, F., Nobre, G. P., & Almeida, J. M. (2022) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1109/asonam55673.2022.10068628 · Cited by 19
“Keller et al. [25], in turn, explored the network of retweets to study ad coordination during the presidential election in South Korea, whereas Nizzoli et al. [26], proposed a network-based framework to detect various degrees of coordinated social media efforts during the 2019 UK general election.”
BackgroundTemporal Nuances of Coordination Networks
Weber, D., & Falzon, L. (2021) · arXiv.org · doi:10.48550/arxiv.2107.02588 · Cited by 8
“tweet [11,19,24], using the same URL [3,14,20,24], similar text [9], and similar media [19,26], and any other ‘behavioural trace’ [19] that could link accounts (e.”
MethodDetecting Coordinated Activities Through Temporal, Multiplex, and Collaborative Analysis
Iannucci, L., Muratore, E., Matakos, A., & Kivelä, M. (2025) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.48550/arxiv.2512.19677 · Cited by 7
“This shift in perspective makes it possible to expose co-ordinated efforts by identifying an anomalous degree of consistency within a group of accounts [10].”
InfluentialWu, C., Jiang, S., Sun, J., & Liu, Y.-Q. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105560 · Cited by 7
Patterns, Models, and Challenges in Online Social Media: A Survey
Marco, N. D., Bonetti, A., Martino, E. D., Loru, E., Nudo, J., Pandolfo, M. E., Pecile, G., Sangiorgio, E., Scalco, I., Zollo, S., et al. (2026) · ACM Transactions on the Web · doi:10.1145/3796548 · Cited by 3
Bene, M., & Juhász, V. (2025) · American Behavioral Scientist · doi:10.1177/00027642251344210 · Cited by 7
Xu, W., Sasahara, K., Chu, J., Wang, B., Fan, W., & Hu, Z. (2025) · EPJ Data Science · doi:10.1140/epjds/s13688-025-00528-y · Cited by 4
Kanakaris, N., Ping, H., Xiao, X., Ahmed, N. K., Luceri, L., Ferrara, E., & Bogdan, P. (2025) · International World Wide Web Conference (WWW) · doi:10.1145/3701716.3717539 · Cited by 3
Análisis comparado de la desinformación difundida en Europa sobre la muerte de la reina Isabel II
Incertis, R. R., del Vas, R. S., & Navarro, J. T. (2024) · Revista de Comunicación · doi:10.26441/rc23.1-2024-3426 · Cited by 11
Keeping it authentic: the social footprint of the trolls’ network
Swed, O., Dassanayaka, S., & Volchenkov, D. (2024) · Social Network Analysis and Mining · doi:10.1007/s13278-023-01161-1 · Cited by 7
“As an artificial network that eyes a collective goal, the Russian network bears similarities to an astroturf, a fake social movement that promotes paid agenda in concert (Mix and Waldo 2015; Keller et al. 2020).”
Daume, S., Bjersér, P., & Galaz, V. (2023) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2023.101384 · Cited by 10
Campos‐Castillo, C., & Shuster, S. M. (2021) · American Behavioral Scientist · doi:10.1177/00027642211066058 · Cited by 25
“As others (Keller et al., 2020; Weeks & Gil de Zúñiga, 2019) have noted, scholarship can become bogged down in definitional work and creating taxonomies for false information.”
BackgroundThomson, R., Bisgin, H., Dancy, C. L., Hyder, A., & Hussain, M. N. (2020) · International Conference on Social, Cultural, and Behavioral Modeling · doi:10.1007/978-3-030-61255-9 · Cited by 7
Coordinated inauthentic behaviour on Facebook? A typology of manufactured attention
Rogers, R., & Righetti, N. (2025) · Platforms & Society · doi:10.1177/29768624251369784 · Cited by 6
How False Information Is Used Against Sexual and Gender Minorities and What We Can Do About It
Shuster, S. M., Bunn, G., Joseph, K., & Campos‐Castillo, C. (2025) · Sex & Sexualities · doi:10.1177/3033371251329532 · Cited by 6
The art of delirium: social media suppression in authoritarian regimes
Kermani, H. (2025) · Communication Theory · doi:10.1093/ct/qtaf006 · Cited by 11
Fitzgerald, J., Lokmanoglu, A. D., Salles, D., & Santini, R. M. (2024) · The International Journal of Press/Politics · doi:10.1177/19401612241285660 · Cited by 6
“…seen an explosion of interest in how disinformation interfaces with democratic outcomes, ranging from studies of disinformation campaign anato-mies (Keller et al. 2020) and external election interference (Lysenko and Brooks 2018) to the role of disinformation in creating alternative ontologies…”
Dash, S., & Mitra, T. (2024) · ACM Journal on Computing and Sustainable Societies · doi:10.1145/3675760 · Cited by 7
“Most studies on coordination detection use text similarity features [2, 4, 25], co-retweeting (or repeatedly retweeting specific accounts or tweets to amplify messaging) [19, 20, 46], synchronicity (temporally correlated activity) [10, 48], or some combination [24, 44, 45, 47].”
InfluentialCervera, R. B., Pérez‐Solà, C., & Batlle, A. (2024) · Social Network Analysis and Mining · doi:10.1007/s13278-024-01251-8 · Cited by 5
“More concretely, this situation can be related to astroturf-ing campaigns as explained by Keller et al. (2020), when in the flood phase there is a significant increase in tweets with the help of automated bots (Arce-Garcia et al. 2022; Arce-Garcia et al. 2023).”
Mukherjee, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4739488 · Cited by 19
“Such phenomena are termed ‘astroturfing’ in the political science literature, whereby firms or entities create multiple social media accounts to simulate grassroots support or opposition to influence public opinion (Keller et al. 2020).”
BackgroundCombatting disinformation with crisis communication: An analysis of Meta’s newsroom stories
Opgenhaffen, M. (2023) · Communications · doi:10.1515/commun-2022-0101 · Cited by 9
A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns
Zilius, K., Spiliotopoulos, T., & van Moorsel, A. (2023) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v17i1.22219 · Cited by 8
User Experience Design for Automatic Credibility Assessment of News Content About COVID-19
Schulz, K., Rauenbusch, J., Fillies, J., Rutenburg, L., Karvelas, D., & Rehm, G. (2022) · Interacción · doi:10.48550/arxiv.2204.13943 · Cited by 6
Ridge count thresholding to uncover coordinated networks during onset of the Covid-19 pandemic
Kirn, S. L., & Hinders, M. K. (2022) · Social Network Analysis and Mining · doi:10.1007/s13278-022-00873-0 · Cited by 5
“These vulnerable users then begin sharing the disinformation to increase its reach online (Woolley 2020; Keller et al. 2020; Pierri et al. 2020; Yao et al. 2017; Zannettou et al. 2019).”
BackgroundAgenda-Setting for sustainable development on Twitter: actors, motivations, and issues in Turkey
Göçoğlu, V. (2022) · Journal of Asian Public Policy · doi:10.1080/17516234.2022.2055522 · Cited by 6
“This situation reveals the point that the issue of disinformation on Twitter (Keller et al., 2020; Linvill & Warren, 2020) should not be ignored.”
Twitter and the electoral connection
Gray, T. R., & Gutierrez-Mannix, C. D. (2021) · Social Science Quarterly · doi:10.1111/ssqu.13080 · Cited by 6
Tactics and Techniques of Information Operations: Gaps in US Response to Counter Malign Influence
Harrell, N. B., Master, A., Starck, N., & Eerhart, D. (2025) · International Conference on Cyber Warfare and Security · doi:10.34190/iccws.20.1.3271 · Cited by 5
Gaw, F., Bunquin, J. B., Lanuza, J. M. H., Cabbuag, S. I., Sapalo, N., & Yusoph, A. (2025) · New Media & Society · doi:10.1177/14614448241312191 · Cited by 5
“It is designed to manufacture public support (Keller et al., 2020; Linvill and Warren, 2020), intensify ideological, racial, and ethnic divisions (Marwick and Lewis, 2017; Yadav et al., 2023), and legitimize undemocratic policies (Sinpeng et al., 2020; Soares and Recuero, 2021).”
Riedlinger, M. E., Montaña-Niño, S. X., Watt, N., García‐Perdomo, V., & Joubert, M. (2024) · Media and Communication · doi:10.17645/mac.8680 · Cited by 7
“We did not direct the study towards a content analysis of fact‐checkers’ websites and so we are unable to determine the proportion of Covid‐19 vaccine content that was shared between fact‐checkers’ websites and their watchdog role performances, as the scrutiny of top‐down actors, did not account for disinformation cam…”
BackgroundTolsma, J., & Spierings, N. (2024) · Information, Communication & Society · doi:10.1080/1369118x.2024.2305159 · Cited by 5
Shells, Fronts, Astroturfing, and Beyond: Examining Concealment Strategies of Proxy Organizations
Scott, C. R., & Kang, K. K. (2023) · Management Communication Quarterly · doi:10.1177/08933189231222471 · Cited by 6
Estrategias de astroturfing en las publicaciones de Tik Tok: el caso de la Ley Trans España
Ballesteros-Aguayo, L., Ribeiro, J. C., & García-Estévez, N. (2023) · Historia y Comunicación Social · doi:10.5209/hics.92238 · Cited by 4
Fang, W., & Nie, C. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2276801 · Cited by 5
A General Language for Modeling Social Media Account Behavior
Nwala, A. C., Flammini, A., & Menczer, F. (2022) · arXiv.org · doi:10.48550/arxiv.2211.00639 · Cited by 5
“Some methods focus on specific components of the content, such as embedded links, hashtags, and media [39, 28, 20, 21, 51].”
MethodThe Rise of Peripheral Actors in Media Regulation in South Africa: An Entry of Social Media Mob(s)
Mukhudwana, R. (2021) · African Journalism Studies · doi:10.1080/23743670.2022.2032783 · Cited by 5
Meng, X., Wang, X., & Peng, T. (2026) · Communication Methods and Measures · doi:10.1080/19312458.2026.2613829 · Cited by 7
“For instance, accounts created within narrow time windows may signal bot networks (Abrahams & Leber, 2021; Jones, 2019), and bots may also be identified through reposting patterns shared with known bot accounts (Keller et al., 2020).”
Prigozhin’s Propaganda Team: The St Petersburg Internet Research Agency (2013–2021)
Poliakoff, S., & Toepfl, F. (2026) · European Studies · doi:10.1080/09668136.2025.2588334 · Cited by 4
Covert Borderwork: Managing Borders and Migration through Secrecy
Watkins, J., & Dessel, J. V. (2025) · Antipode · doi:10.1111/anti.70089 · Cited by 4
Multimodal Coordinated Online Behavior: Trade-offs and Strategies
Mannocci, L., Cresci, S., Magnani, M., Monreale, A., & Tesconi, M. (2025) · Information Sciences · doi:10.48550/arxiv.2507.12108 · Cited by 4
“Conversely, coordination can also be employed for goals widely recognized as problematic, such as disinformation campaigns [8, 9, 10], election interference [3, 11], or astroturfing [12].”
Impact of social media disinformation explored in 'The Social Dilemma'
Husandani, R. A., Utari, P., & Rahmanto, A. (2025) · Jurnal Aspikom · doi:10.24329/aspikom.v9i1.1534 · Cited by 4
“The speed and virality of tweets, combined with the limited character count, can make it easier for disinformation to spread before it is verified or corrected (Keller et al., 2020).”
The lives and afterlives of community-created bots on Twitter: A minor history
Carlon, D., Burgess, J., & Kasianenko, K. (2025) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/13548565251334087 · Cited by 3
Moral education and the psychology of moral discourse
Heinzelmann, N. C. (2025) · Journal of Moral Education · doi:10.1080/03057240.2025.2453687 · Cited by 4
“Nevertheless, the spreading of fake news in social discourse due to these organised political activities by troll farms, interest groups or the bots they design is minimal (Badawy et al., 2018; Keller et al., 2020; Zannettou et al., 2019).”
Trolls Behind the Mask of Journalists: How Yevgeny Prigozhin’s Patriot Media Group Was Organized
Poliakoff, S. (2025) · Problems of Post-Communism · doi:10.1080/10758216.2024.2438336 · Cited by 4
“Astroturfing is a global phenomenon that recently became a serious problem for online environments (Chan 2022), the consequences of which are being studied on examples (apart from the IRA mentioned above) from China (Han 2015), the Philippines (Ong and Cabañes 2019), Turkey (Bulut and Yörük 2017), South Korea (Keller…”
Integrating higher-order relations for enhanced twitter bot detection
Reiche, S., Cohen, S., Simonov, K., & Friedrich, T. (2024) · Social Network Analysis and Mining · doi:10.1007/s13278-024-01372-0 · Cited by 3
“For example, Retweet and Co-Retweet networks have been used to identify and characterize coordinated astroturf-ing (Keller et al. 2020), while others have explored Co-Tweet or Co-Reply signals to uncover coordinated behavior (Graham et al. 2024).”
The Evolution of Language in Social Media Comments
Marco, N. D., Loru, E., Bonetti, A., Serra, A. O. G., Cinelli, M., & Quattrociocchi, W. (2024) · arXiv.org · doi:10.48550/arxiv.2406.11450 · Cited by 4
“However, a minority of users produce highly repetitive texts and exhibit low complexity, which may indicate the presence of automated or coordinated accounts [10,14,29,30,38,41].”
BackgroundRone, J., & Fielitz, M. (2023) · Geopolitics · doi:10.1080/14650045.2023.2260314 · Cited by 5
“These artificial grassroots movements (so-called astroturfing) are intended to infiltrate the discourse with political content, identifiable via keyword hashtags, across platforms and to drive the public in front of them (Keller et al. 2020).”
Ng, K.-W., & Iamnitchi, A. (2023) · Multidisciplinary International Symposium on Disinformation in Open Online Media · doi:10.48550/arxiv.2309.12729 · Cited by 4
“Previous studies have proposed different frameworks to identify coordination among actors by examining platform-specific features such as co-retweet or co-tweet networks [9], or the retweet network [8].”
BackgroundDisinformation Echo-Chambers on Facebook
de-Lima-Santos, M.-F., & Ceron, W. (2023) · arXiv.org · doi:10.48550/arxiv.2309.07745 · Cited by 4
Analyzing the far-right political action on Twitter: the Chilean constituent process
Riquelme, F., López, D. R., & Serrano, B. (2022) · Social Network Analysis and Mining · doi:10.1007/s13278-022-00990-w · Cited by 5
VRLLab at HSD-2Lang 2024: Turkish Hate Speech Detection Online with TurkishBERTweet
Najafi, A., & Varol, O. (2024) · Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE) · doi:10.18653/v1/2024.case-1.25 · Cited by 1
“…made these platforms vulnerable to manipulation of discourse by bad actors who utilize automated accounts (Ferrara et al., 2016; Varol et al., 2017), spread disinformation (Mosleh and Rand, 2022; Keller et al., 2020), and coordinate targeted attacks (Shao et al., 2018; Varol and Uluturk, 2020).”
BackgroundSchaefer, R., Abels, C. M., Lewandowsky, S., & Stede, M. (2023) · Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA) · doi:10.18653/v1/2023.wassa-1.42 · Cited by 3
“, 2017), disinformation campaigns (Keller et al., 2020), as well as elite communication with citizens (e.”
BackgroundTucker, J. A. (2023) · Handbook of Computational Social Science for Policy · doi:10.1007/978-3-031-16624-2_20 · Cited by 3
Farkas, X. (2026) · Media and Communication · doi:10.17645/mac.11545 · Cited by 3
“Recent studies have explored political astroturfing and its effects on online engagement (e.g., Arce‐García et al., 2022; Keller et al., 2020), yet little is known about how such practices integrate disinformation narratives for mobilization and negative campaigning in influencer‐driven…”
InfluentialHidalgo, O. F. (2026) · Social Sciences · doi:10.3390/socsci15030175 · Cited by 4
Avşar, B. (2025) · TRT Akademi · doi:10.37679/trta.1562358 · Cited by 4
Oliveira, G. S., Venâncio, O. R., Vieira, V., Almeida, J. M., da Silva, A. P. C., Ferreira, R. S., & Ferreira, C. H. G. (2024) · Brazilian Symposium on Multimedia and the Web · doi:10.5753/webmedia.2024.241957 · Cited by 3
Schler, J., & Bonchek-Dokow, E. (2024) · Machine Learning and Knowledge Extraction · doi:10.3390/make6040108 · Cited by 2
Rerup, C., & Spencer, B. (2024) · Scandinavian Journal of Management · doi:10.1016/j.scaman.2024.101358 · Cited by 5
Polarizing Topics on Twitter in the 2022 United States Elections
Katalinić, J., Đunđer, I., & Seljan, S. (2023) · Information · doi:10.3390/info14110609 · Cited by 11
Arenas públicas virtuales en Twitter y politización religiosa en Ecuador
Pazmiño, S. A., & Hurtado, E. (2023) · Estudios Sociológicos de El Colegio de México · doi:10.24201/es.2024v42.e2329 · Cited by 3
Ross, A., Chadwick, A., & Vaccari, C. (2021) · The Routledge Companion to Political Journalism · doi:10.4324/9780429284571-22 · Cited by 3
“…prioritization means that messages heavily laden with public opinion cues are more likely to surface in social media users’ feeds (Twitter, no date; Bucher, 2012; Backstrom, 2013; Facebook, 2014, 2016; Westerwick, Johnson and Knobloch-Westerwick, 2017; Owen, 2019; Ho, 2020; Keller et al. , 2020).”
Background#AstraZeneca vaccine disinformation on Twitter
Jemielniak, D., & Krempovych, Y. (2021) · medRxiv · doi:10.1101/2021.04.08.21255107 · Cited by 3
Homophily and Transitivity in Bot Disinformation Networks
Williams, E. M., Novak, V., Blackwell, D., Platzman, P., Mcculloh, I., & Phillips, N. E. (2020) · International Conference on Social Networks Analysis, Management and Security · doi:10.1109/snams52053.2020.9336579 · Cited by 3
“To complicate things further, many bots are partiallymanaged “cyborgs” that disseminate content created manually by teams [3][16].”
BackgroundDehghan, E., Moon, B., Keller, T. R., Graham, T., Bruns, A., & Angus, D. (2020) · AoIR Selected Papers of Internet Research · doi:10.5210/spir.v2020i0.11199 · Cited by 3
“…Roth 2019), we first map the Twittersphere revolving around the Iran protests and detect key clusters (RQ1), and, second, focus on the evidence of the presence of bots, bot networks, and coordinated misinformation campaigns and political astroturfing (Keller et al. 2019) in these clusters (RQ2).”
BackgroundLuber, M., Weisser, C., Säfken, B., Silbersdorff, A., Kneib, T., & Kis‐Katos, K. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87031-7_3 · Cited by 3
Cranks and Charlatans and Deepfakes
Hinders, M. K., & Kirn, S. L. (2020) · Springer eBooks · doi:10.1007/978-3-030-49395-0_9 · Cited by 1
Commenters and lurkers: Navigating the two-step flow of communication in online news discourse
Han, J. (2025) · New Media & Society · doi:10.1177/14614448251363954 · Cited by 1
“Notable examples of this civic engagement include the 2008 can-dlelight protests against U.S. beef imports (Yun and Chang, 2011) and the 2016–2017 protests that resulted in the impeachment of the former President Park Geun-hye over abuse of power and corruption (Keller et al., 2020).”
Wack, M., & Prochaska, S. (2026) · Social Media + Society · doi:10.1177/20563051261462092 · Cited by 2
“…Rid, 2020), “astroturfing” which describes the wide use of inauthentic, often bot, accounts that pretend to be real users supporting a message (Keller et al., 2020), and efforts to prompt users to interpret digital affordances, perceived pathways for acting in a digital environment (e.g., a…”
Mapping the disinformation industry in Russia
Poliakoff, S., & Kling, J. (2026) · New Media & Society · doi:10.1177/14614448261452207 · Cited by 2
Israel-Hamas War on X: A Case Study of Coordinated Campaigns and Information Integrity
Elmas, T., Silva, F. N., Pote, M., Dey, P., Chang, K.-C., Ye, J., Luceri, L., Buntain, C., Ferrara, E., Flammini, A., et al. (2026) · arXiv.org · doi:10.48550/arxiv.2604.10566 · Cited by 2
“…text-template campaigns (a.k.a. “copy-pastas”) linked to astroturfing behavior that simulates grassroots consensus (Vishnuprasad et al., 2024; Keller et al., 2020) and concentrated retweeting (Elmas et al., 2022; Schoch et al., 2022) remain among the simplest yet most persistent…”
Metadata
- Authors
- Keller, F. B., Schoch, D., Stier, S., & Yang, J.
- Affiliations
- Hong Kong University of Science and Technology (HK)
- University of Manchester (GB)
- GESIS - Leibniz Institute for the Social Sciences (DE)
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Stier, Sebastian
- Venue
- Political Communication
- Publisher
- Informa UK Limited
- Published
- 2019-10-26
- Volume
- 37
- Issue
- 2
- Pages
- 256-280
- ISSN
- 1058-4609 (ISSN-L)
- 1091-7675
- OpenAlex
- W2971881481
- Cited by
- 378
- References
- 46
- Citations by year
- 2026: 53 · 2025: 56 · 2024: 71 · 2023: 53 · 2022: 59 · 2021: 41 · 2020: 45
- FWCI
- 73.01
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Political Communication (publishedVersion)
- Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) (submittedVersion)
- BORIS (University Library Bern) (submittedVersion)
- Research Explorer (The University of Manchester) (submittedVersion, other-oa)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Funders
- National Research Foundation of Korea (NRF-2016S1A3A2925033)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Communication › Social Media and Politics
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Keywords
- disinformation campaigns, Twitter, 2012 South Korean presidential election, social bots, principal-agent model, election interference
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