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Online propaganda poses a severe threat to the integrity of societies.
The techniques of propaganda
Clyde R. Miller. 1939 · 1939
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The generalisation of ’student’s’ problems when several different population variances are involved
Bernard Lewis Welch. 1947 · 1947
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A coefficient of agreement for nominal scales
Jacob Cohen. 1960 · 1960
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Visualizing data using t-SNE
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Ethical research standards in a world of big data
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The development and psychometric properties of LIWC2015
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On the reliability of unitizing textual continua: Further developments
Klaus Krippendorff, Yann Mathet, Stéphane Bouvry, and Antoine Widlöcher. 2016 · 2016
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Deep learning for hate speech detection in tweets
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Truth of varying shades: Analyzing language in fake news and political fact-checking
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Large scale crowdsourcing and characterization of Twitter abusive behavior
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FEVER: A large-scale dataset for Fact Extraction and VERification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
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Proppy: Organizing the news based on their propagandistic content
Alberto Barrón-Cedeño, Israa Jaradat, Giovanni Da San Martino, and Preslav Nakov. 2019 · 2019
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Fine-grained analysis of propaganda in news articles
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, and Preslav Nakov. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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RoBERTa: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Du Jingfei, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 2019
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, and Dario Amodei. 2019 · 2019
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Sentence-BERT: Sentence embeddings using siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 2019
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Kaimin Zhou, Chang Shu, Binyang Li, and Jey Han Lau. 2019 · 2019
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Rumor detection on social media with bi-directional graph convolutional networks
Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, and Junzhou Huang. 2020 · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D. Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 2020
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A survey on computational propaganda detection
Giovanni San Da Martino, Stefano Cresci, Alberto Barron-Cedeno, Seunghak Yu, Roberto Di Pietro, and Preslav Nakov. 2020 · 2020
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Towards propagation uncertainty: Edge-enhanced bayesian graph convolutional networks for rumor detection
Lingwei Wei, Dou Hu, Wei Zhou, Zhaojuan Yue, and Songlin Hu. 2021 · 2021
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OpenPrompt: An open-source framework for prompt-learning
Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Haitao Zheng, and Maosong Sun. 2022 · 2022
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Russian propaganda on social media during the 2022 invasion of ukraine
Dominique Geissler, Dominik Bär, Nicolas Pröllochs, and Stefan Feuerriegel. 2023 · 2022
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A large-scale longitudinal multimodal dataset of state-backed information operations on twitter
Xiaobo Guo and Soroush Vosoughi. 2022 · 2022
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Towards fine-grained reasoning for fake news detection
Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, and Xing Xie. 2022 · 2022
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Semeval-2020 task 11: Detection of propaganda techniques in news articles
Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, and Preslav Nakov. 2020 · 2020
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Fine-grained fact verification with kernel graph attention network
Zhenghao Liu, Chenyan Xiong, Maosong Sun, and Zhiyuan Liu. 2020 · 2020
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GCAN: Graph-aware co-attention networks for explainable fake news detection on social media
Yi-Ju Lu and Cheng-Te Li. 2020 · 2020
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BERTweet: A pre-trained language model for English tweets
Dat Quoc Nguyen, Thanh Vu, and Anh Tuan Nguyen. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Collin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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In validations we trust? The impact of imperfect human annotations as a gold standard on the quality of validation of automated content analysis
Hyunjin Song, Petro Tolochko, Jakob-Moritz Eberl, Olga Eisele, Esther Greussing, Tobias Heidenreich, Fabienne Lind, Sebastian Galyga, and Hajo G. Boomgaarden. 2020 · 2020
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Cross-domain learning for classifying propaganda in online contents
Liqiang Wang, Xiaoyu Shen, Gerard de Melo, and Gerhard Weikum. 2020 · 2020
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Disinformation and Russia’s war of aggression against Ukraine: Threats and governance responses
Adam Kowalski. 2022 · 2022
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Detecting false rumors from retweet dynamics on social media
Christof Naumzik and Stefan Feuerriegel. 2022 · 2022
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From the detection of toxic spans in online discussions to the analysis of toxic-to-civil transfer
John Pavlopoulos, Leo Laugier, Alexandros Xenos, Jeffrey Sorensen, and Ion Androutsopoulos. 2022 · 2022
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Propaganda
Bruce Lannes Smith. 2022 · 2022
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TWEETSPIN: Fine-grained propaganda detection in social media using multi-view representations
Prashanth Vijayaraghavan and Soroush Vosoughi. 2022 · 2022
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Retrieving false claims on Twitter during the Russia-Ukraine conflict
Valerio La Gatta, Chiyu Wei, Luca Luceri, Francesco Pierri, and Emilio Ferrara. 2023 · 2023
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This joke is [MASK]: Recognizing humor and offense with prompting
Junze Li, Mengjie Zhao, Yubo Xie, Antonis Maronikolakis, Pearl Pu, and Hinrich Schütze. 2023 · 2023
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Zero-shot rumor detection with propagation structure via prompt learning
Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, and Ruifang Liu. 2023 · 2023
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
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Overview of DIPROMATS 2023: Automatic detection and characterization of propaganda techniques in messages from diplomats and authorities of world powers
Pablo Moral, Guillermo Marco, Julio Gonzalo, Jorge Carrillo-de Albornoz, and Iván Gonzalo-Verdugo. 2023 · 2023
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Programme on democracy & technology
Oxford Internet Institute. 2023 · 2023
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Detecting propaganda techniques in code-switched social media text
Muhammad Umar Salman, Asif Hanif, Shady Shehata, and Preslav Nakov. 2023 · 2023
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Automated multilingual detection of Pro-Kremlin propaganda in newspapers and Telegram posts
Veronika Solopova, Oana-Iuliana Popescu, Christoph Benzmüller, and Tim Landgraf. 2023 · 2023
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