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The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers [chapter]

Anastasia Giachanou, Esteban A. Ríssola, Bilal Ghanem, Fabio Crestani, Paolo Rosso
2020 Lecture Notes in Computer Science  
Experimental results show that leveraging linguistic patterns and personality traits can improve the performance in differentiating between checkers and spreaders.  ...  In this paper, we propose the CheckerOrSpreader model that can classify a user as a potential fact checker or a potential fake news spreader.  ...  The work of Paolo Rosso is partially funded by the Spanish MICINN under the research project MISMIS-FAKEnHATE on Misinformation and Miscommunication in social media: FAKE news and HATE speech (PGC2018-  ... 
doi:10.1007/978-3-030-51310-8_17 fatcat:u6anynvfrvhzjkbb52244nouj4

Profiling Fake News spreaders through Stylometry and Lexical Features. UniOR NLP @PAN2020

Raffaele Manna, Antonio Pascucci, Johanna Monti
2020 Conference and Labs of the Evaluation Forum  
In this paper, we describe our approach to address the Profiling Fake News Spreaders on Twitter task at PAN 2020 1 .  ...  The aim of the task is to profile users who are used to spread (consciously or unconsciously) fake news in two languages, namely English and Spanish.  ...  Acknowledgements This research has been carried out in the context of two innovative industrial PhD projects in computational stylometry supported by the PON Ricerca e Innovazione 2014-20 and the POR Campania  ... 
dblp:conf/clef/MannaPM20 fatcat:qlmzftityrbnphrkuwkm4wjj2a

Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection [chapter]

Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Günther Specht, Efstathios Stamatatos (+3 others)
2020 Lecture Notes in Computer Science  
This, and the fact that we continue to invite the submissions of software rather than its run output using the TIRA experimentation platform, marks for a good start into the second decade of PAN evaluations  ...  We briefly report on the four shared tasks organized as part of the PAN 2020 evaluation lab on digital text forensics and authorship analysis.  ...  The work of Paolo Rosso was partially funded by the Spanish MICINN under the research project MISMIS-FAKEnHATE on Misinformation and Miscommunication in social media: FAKE news and HATE speech (PGC2018  ... 
doi:10.1007/978-3-030-58219-7_25 fatcat:hancxowxwfbl5h6tym3xjcoxyi

Fake News: A Survey of Research, Detection Methods, and Opportunities [article]

Xinyi Zhou, Reza Zafarani
2018 arXiv   pre-print
By reviewing the characteristics of fake news and open issues in fake news studies, we highlight some potential research tasks at the end of this survey.  ...  These studies focus on fake news from four perspective: (1) the false knowledge it carries, (2) its writing style, (3) its propagation patterns, and (4) the credibility of its creators and spreaders.  ...  an edge between two nodes indicates the following relationship of two news spreaders .  ... 
arXiv:1812.00315v1 fatcat:5livhuklpzdk5dmx5rsnlidn3u

Stance detection with BERT embeddings for credibility analysis of information on social media

Hema Karande, Rahee Walambe, Victor Benjamin, Ketan Kotecha, TS Raghu
2021 PeerJ Computer Science  
Analyzing the credibility of fake news is challenging due to the intent of its creation and the polychromatic nature of the news. In this work, we propose a model for detecting fake news.  ...  In contrast, the increasing acceptance of social media reporting leads to the spread of fake news. This is a minacious problem that causes disputes and endangers the societal stability and harmony.  ...  Pattern driven approach (Zhou & Zafarani, 2019) capturing the relation between news spreader and relation between the spreaders of that news item.  ... 
doi:10.7717/peerj-cs.467 pmid:33954243 pmcid:PMC8053013 fatcat:a22nc4r4rzeafjl4r2ynguxvzm

What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses [article]

Sabur Butt, Shakshi Sharma, Rajesh Sharma, Grigori Sidorov, Alexander Gelbukh
2021 arXiv   pre-print
In the descriptive line of works, where researchers have tried to analyse rumours using NLP approaches, there isnt much emphasis on psycho-linguistics analyses of social media text.  ...  To this end, we employed various classical and ensemble-based approaches. To filter out the highly discriminative psycholinguistic features, we explored the SHAP AI Explainability tool.  ...  EP/V055712/1), NCN (grant linguistic patterns in discriminating between fake news spreaders No. 2020/02/Y/ST6/00064), ETAg (grant No.  ... 
arXiv:2112.03003v1 fatcat:sxs657ycwrcfnc657okmopwouu

Political communication in post-truth society

Nina Gorenc
2020 Ars & Humanitas  
The paper opens with a definition of post-truth society and related concepts such as fake news and computational propaganda.  ...  It explores the changes of political communication in a digital environment and analyses the role of social media in the 2016 election.  ...  The ability to share everything online without "filters", such as editors, censors, or fact-checkers, and to engage in communication interactively shifted the focus from the role and authority of the leader  ... 
doi:10.4312/ars.14.1.73-87 fatcat:4x3qgrnjifghxouxwk6ozt6kd4

Fake news outbreak 2021: Can we stop the viral spread?

Tanveer Khan, Antonis Michalas, Adnan Akhunzada
2021 Journal of Network and Computer Applications  
General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications  ...  that users recognise and abide by the legal requirements associated with these rights.  Users may download and print one copy of any publication from the public portal for the purpose of private study  ...  Acknowledgement This research has received funding from the EU research projects ASCLEPIOS (No. 826093) and CYBELE (No 825355).  ... 
doi:10.1016/j.jnca.2021.103112 fatcat:4z6ghwqjbbdhrjmrx7tlh5xabq

An Exploratory Study of COVID-19 Misinformation on Twitter [article]

Gautam Kishore Shahi and Anne Dirkson and Tim A. Majchrzak
2020 arXiv   pre-print
We have collected all tweets mentioned in the verdicts of fact-checked claims related to COVID-19 by over 92 professional fact-checking organisations between January and mid-July 2020 and share this corpus  ...  We have conducted an exploratory study into the propagation, authors and content of misinformation on Twitter around the topic of COVID-19 in order to gain early insights.  ...  Recent studies [52, 60] have also shown the promise of propagationbased approaches for precise discrimination of fake news on social media.  ... 
arXiv:2005.05710v2 fatcat:fgh6mqriejc3nlujyz3i5sqvsa

Sentiment Analysis for Fake News Detection

Miguel A. Alonso, David Vilares, Carlos Gómez-Rodríguez, Jesús Vilares
2021 Electronics  
In this article, we study the different uses of sentiment analysis in the detection of fake news, with a discussion of the most relevant elements and shortcomings, and the requirements that should be met  ...  This has led to sentiment analysis, the part of text analytics in charge of determining the polarity and strength of sentiments expressed in a text, to be used in fake news detection approaches, either  ...  news; true news had fewer question marks; fake news had a much larger ratio of capital letters; the median of negations in fake news was much smaller; fake news had fewer first-person and second-person  ... 
doi:10.3390/electronics10111348 fatcat:p34nbmtkzrcqrowu24nmu4axnq

Identifying Fake News on Social Networks Based on Natural Language Processing: Trends and Challenges

Nicollas R. de Oliveira, Pedro S. Pisa, Martin Andreoni Lopez, Dianne Scherly V. de Medeiros, Diogo M. F. Mattos
2021 Information  
Human inefficiency to distinguish between true and false facts exposes fake news as a threat to logical truth, democracy, journalism, and credibility in government institutions.  ...  The epidemic spread of fake news is a side effect of the expansion of social networks to circulate news, in contrast to traditional mass media such as newspapers, magazines, radio, and television.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/info12010038 fatcat:55qer6ziljhwdeqevkhr7v6jta

Towards Explainable Fact Checking [article]

Isabelle Augenstein
2021 arXiv   pre-print
This development has spurred research in the area of automatic fact checking, from approaches to detect check-worthy claims and determining the stance of tweets towards claims, to methods to determine  ...  Despite this, current solutions for explainability are still lacking in the area of fact checking.  ...  Del Tredici and Fernández 2020 show that tweets by fake news spreaders exhibit certain linguistic trends that hold across domains.  ... 
arXiv:2108.10274v2 fatcat:5s4an6irezcjfmvvhmiaeqarh4

Towards Understanding the Information Ecosystem Through the Lens of Multiple Web Communities [article]

Savvas Zannettou
2019 arXiv   pre-print
community to another and how we can model and quantify the influence between Web communities; 2) characterizing the role of emerging Web communities and services on the Web, by studying Gab and two Web  ...  Yet, we lack tools and techniques to effectively track the propagation of information across the multiple diverse communities, and to model the interplay and influence between them.  ...  [212] study the interplay between fact-checkers and rumor spreaders on social networks finding that users are more likely to correct themselves if the correction comes from a user they follow when compared  ... 
arXiv:1911.10517v1 fatcat:piuwv7zv7zghlof5tqhuhnukla

MANIFEST: A Human-centric Explainable Approach for Fake News Spreading Detection

Ορέστης Δημητρίου Λαμπρίδης
However, there has not been significant work in the literature on the role that the human factor has and what characteristics of human users correlate with the diffusion of fake news.  ...  The way we approach this is by utilizing the predictions made by the fake news spreader classifier built before on the users that took part in the discussion of a specific twitter thread and then by learning  ...  I wish them the best in their future endeavors. Lastly, I would like to thank my family, friends and colleagues for their help, tolerance and overall support during this challenging time.  ... 
doi:10.26262/ fatcat:qdno3iglajbgnebejtagfmccee

The State of AI Ethics Report (June 2020) [article]

Abhishek Gupta
2020 arXiv   pre-print
We cover a wide set of areas in this report spanning Agency and Responsibility, Security and Risk, Disinformation, Jobs and Labor, the Future of AI Ethics, and more.  ...  This pulse-check for the state of discourse, research, and development is geared towards researchers and practitioners alike who are making decisions on behalf of their organizations in considering the  ...  This is also referred to as information pollution and fake news.  ... 
arXiv:2006.14662v1 fatcat:q76dnqzh4ja5pofurjmpmyeyey
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