Twitter Newcomers: Uncovering the Behavior and Fate of New Accounts Through Early Detection and Monitoring by Guglielmo Cola, Michele Mazza, Maurizio Tesconi

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Detection of Induced Activity in Social Networks: Model and Methodology by Dmitrii Gavra, Ksenia Namyatova, Lidia Vitkova

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Online disinformation in the 2020 U.S. election: swing vs. safe states by Manuel Pratelli, Marinella Petrocchi, Fabio Saracco, Rocco De Nicola

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An Analysis of Disinformation and Bot Accounts Under the Hashtag #Darbeyehayir (Nocoup) by Semra Demirdiş

“…This article examines Twitter content under the hashtag #darbeyehayir (NoCoup) and provides information about the spread of online manipulated content, specifically related to disinformation and social bot accounts’ features under the hashtag. This study looks at the content created and posted through Twitter during the failed coup attempt that occurred on 15th July 2016 in Turkey The aim of the study is to examine disinformation content within 10,953 tweets that were disseminated to influence online conversations around the ‘coup’ attempt. …”
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The ethics of political bots: Should we allow them For personal use? by Haeg, J

“…The technology to create and automate large numbers of fake social media users, or “social bots”, is becoming increasingly more accessible to private individuals. …”

Feature extractions and selection of bot detection on Twitter A systematic literature review by Raad Al-azawi, Safaa O. AL-mamory

“… Abstract Automated or semiautomated computer programs that imitate humans and/or human behavior in online social networks are known as social bots. Users can be attacked by social bots to achieve several hidden aims, such as spreading information or influencing targets. …”
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SqueezeGCN: Adaptive Neighborhood Aggregation with Squeeze Module for Twitter Bot Detection Based on GCN by Chengqi Fu, Shuhao Shi, Yuxin Zhang, Yongmao Zhang, Jian Chen, Bin Yan, Kai Qiao

“…However, the latest social bots are capable of concealing themselves by extensively interacting with authentic user accounts, forging extensive connections on social graphs, and thus deviating from the homophily assumption. …”
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Use of Chatbots in Volunteering by V. V. Vasilkova, N. I. Legostaeva, E. A. Penkova

“…Introduction. Practices of social bots are becoming more diverse, bots are used in politics, economics, culture, health care, education, etc. …”
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Interaction Strength Analysis to Model Retweet Cascade Graphs by Paola Zola, Guglielmo Cola, Michele Mazza, Maurizio Tesconi

“…The advent of social media has led to even more challenges, given the higher speed of information propagation and the growing impact of social bots and anomalous accounts. Nevertheless, it is crucial to derive a trustworthy information diffusion graph that is capable of highlighting the importance of specific nodes in spreading the original message. …”
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A language framework for modeling social media account behavior by Alexander C. Nwala, Alessandro Flammini, Filippo Menczer

“…Using BLOC to represent the behaviors of Twitter accounts, we achieve performance comparable to or better than state-of-the-art methods in the detection of social bots and coordinated inauthentic behavior.…”
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Real-Time Twitter Data Analysis: A Survey by Hakar Mohammed Rasul, Alaa Khalil Jumaa

“…The investigation is restricted to the identification of social bots on the Twitter social media network. It examines the methodologies, classifiers, and detection accuracies of the several detection strategies now in use.…”
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Identification of Bots and Cyborgs in the #FeesMustFall Campaign by Yaseen Khan, Surendra Thakur, Obiseye Obiyemi, Emmanuel Adetiba

“…This study examines the existence of social robots in the #FeesMustFall movement by conducting a scientific investigation into whether social bots were present in the form of Twitter bots and cyborgs. …”
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Are You a Cyborg, Bot or Human?—A Survey on Detecting Fake News Spreaders by Wajiha Shahid, Yiran Li, Dakota Staples, Gulshan Amin, Saqib Hakak, Ali Ghorbani

“…OSNs can expose people to different popular trends in various aspects of life and alter people’s beliefs, behaviors, and decisions and communication. Social bots and malicious users are the significant sources for spreading misinformation on social media and can pose serious cyber threats in society. …”
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RUemo—The Classification Framework for Russia-Ukraine War-Related Societal Emotions on Twitter through Machine Learning by Piyush Vyas, Gitika Vyas, Gaurav Dhiman

“…Our key finding indicates that:First, 81% of Twitter users in the survey show a neutral position toward RUW; second, there is evidence of social bots posting RUW-related tweets; third, other than Russia and Ukraine, users mentioned countries such as Slovakia and the USA; and fourth, the Twitter accounts of the Ukraine President and the US President are also mentioned by Twitter users. …”
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Estudio sobre producción del lenguaje en niños con parálisis cerebral usuarios de Comunicación Aumentativa y Alternativa by Andrea Jimena Viera-Gómez, Florencia Reali-Arcos

“…La aproximación socioconstructivista al desarrollo ha realizado un amplio aporte teórico que muestra el importante papel de las narrativas en el establecimiento de la identidad personal y social (Botting, 2002; Bruner, 2004). El presente estudio de caso analiza la producción lingüística en tres niños con parálisis cerebral usuarios de SAAC en sesiones de lectura compartida. …”
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Deepfake Detection on Social Media: Leveraging Deep Learning and FastText Embeddings for Identifying Machine-Generated Tweets by Saima Sadiq, Turki Aljrees, Saleem Ullah

“…Consequently, text-generative models have become increasingly powerful allowing the adversaries to use these remarkable abilities to boost social bots, allowing them to generate realistic deepfake posts and influence the discourse among the general public. …”
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Social, Cultural, and Behavioral Modeling : 14th International Conference, SBP-BRiMS 2021, virtual event, July 6-9, 2021, Proceedings / by International Conference on Social Computing Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation (14th : 2021 : Online) http://id.loc.gov/authorities/names/nb2021008523, Thomson, Robert, editor 497094, Hussain, Muhammad Nihal, editor 642965, Dancy, Christopher L., editor 642966, Pyke, Aryn, editor 642967