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Linguistic Features Predict the Truthfulness of Short Political Statements

Vivek V. Datla, King-Ip (David) Lin, Max M. Louwerse
2014 International Journal of Computational Linguistics and Applications  
Next, we used a new set of political statements and determined whether the same linguistic variables would be able to predict the definitiveness and truthfulness of the statement.  ...  Using linguistic features from seven computational linguistic algorithms, we investigated whether truth-false statements and the definitiveness with which the statement is expressed can be predicted using  ...  CONCLUSION AND FUTURE WORK This study investigated whether linguistic features can be predicting the truth value and the definitiveness of the truth value in short political statements.  ... 
dblp:journals/ijcla/DatlaLL14 fatcat:2x3gbkyo3zah3d2dffa62wlaoe

Sustainable Political Social Media Marketing: Effects of Structural Features in Plain Text Messages

Byungho Park, Moon Young Kang, Jiwon Lee
2020 Sustainability  
In order to do so, structural features of text messages exchanged on social media engaged in political campaigns, namely linguistic formality and network-mediated human interactivity, are manipulated in  ...  Findings suggest that linguistic formality and human interaction in plain text messages influence perceived friendliness, truthfulness, and dependability of the message source (politicians), as well as  ...  Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/su12155997 fatcat:sgox2dxjxnd6leo674qebkhuhy

Disinformation Detection: A review of linguistic feature selection and classification models in news veracity assessments [article]

Jillian Tompkins
2019 arXiv   pre-print
It is clear that human ability to discern lies from truth is flawed at best.  ...  Over the past couple of years, the topic of "fake news" and its influence over people's opinions has become a growing cause for concern.  ...  There are often grains of truth contained within mostly fabricated and misleading texts. As evidenced in the LIAR dataset, even short statements can contain varying degrees of truth.  ... 
arXiv:1910.12073v1 fatcat:gwqqymy4rvfelplez54rp4g4yq

Era of Sociology News Rumors News Detection using Machine Learning

Chandni Jain, S. Vignesh
2019 International Journal of Trend in Scientific Research and Development  
To find linguistic features of untrustworthy text, we compare the language of real news with that of satire, hoaxes, and propaganda.  ...  We are also presenting a case study based on PolitiFact.com using their factuality judgments on a 6-point scale to prove the feasibility of automatic political fact-checking.  ...  I have perform multiple predictive tasks on fact-checked statements of varying truth levels (graded deception) as well as a deeper linguistic comparison of different types of fake news such as propaganda  ... 
doi:10.31142/ijtsrd23534 fatcat:sip2hx4qkndvbbrsna3s2xubie

"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection

William Yang Wang
2017 Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)  
However, statistical approaches to combating fake news has been dramatically limited by the lack of labeled benchmark datasets.  ...  We collected a decade-long, 12.8K manually labeled short statements in various contexts from POLITIFACT.COM, which provides detailed analysis report and links to source documents for each case.  ...  And the research questions are: • Based on surface-level linguistic realizations only, how well can machine learning algorithms classify a short statement into a finegrained category of fakeness?  ... 
doi:10.18653/v1/p17-2067 dblp:conf/acl/Wang17 fatcat:pldk3r4dkbfc3eactxpawbo7jy

Motivations, Methods and Metrics of Misinformation Detection: An NLP Perspective

Qi Su, Mingyu Wan, Xiaoqian Liu, Chu-Ren Huang
2020 Natural Language Processing Research  
This paper discusses the main issues of misinformation and its detection with a comprehensive review on representative works in terms of detection methods, feature representations, evaluation metrics and  ...  A B S T R A C T The rise of misinformation online and offline reveals the erosion of long-standing institutional bulwarks against its propagation in the digitized era.  ...  ACKNOWLEDGMENTS We are grateful to the anonymous reviewers for their valuable and constructional advices on the previous versions of this article; all remaining errors are our own.  ... 
doi:10.2991/nlpr.d.200522.001 fatcat:vwwspvaexbga3kn5mxtdo6ke6u

"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection [article]

William Yang Wang
2017 arXiv   pre-print
However, statistical approaches to combating fake news has been dramatically limited by the lack of labeled benchmark datasets.  ...  We collected a decade-long, 12.8K manually labeled short statements in various contexts from PolitiFact.com, which provides detailed analysis report and links to source documents for each case.  ...  And the research questions are: • Based on surface-level linguistic realizations only, how well can machine learning algorithms classify a short statement into a finegrained category of fakeness?  ... 
arXiv:1705.00648v1 fatcat:nifuejt7sbbn5eywzwlylzcxqm

Evaluation of Fake News Detection with Knowledge-Enhanced Language Models [article]

Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos
2022 arXiv   pre-print
The mixed results on COVID-19 highlight the reliance on stylistic features and the importance of domain specific and current KBs.  ...  We study several state-of-the-art approaches for knowledge integration, mostly using Wikidata as KB, on two popular fake news datasets - LIAR, a politics-based dataset, and COVID-19, a dataset of messages  ...  They both consist of short statements, but with different content, time of collection, linguistic and stylistic features. LIAR was collected in 2017 from Politifact (https://www. politifact.com).  ... 
arXiv:2204.00458v1 fatcat:442aa4ux2bhbvmm7g4ankz2r5y

A Comparative Analysis of the Semantic Field of 'deception': A Case Study Of Russian And American Imageboard Messages

Olga Lykova, Denis Gordeev
2021 Research in Language  
The results showed the tendency among native Russian imageboard users to link the concept of deception with religion and spiritual sphere, while American forum users associate deception with politics and  ...  This article uses the material of anonymous Internet forums to analyse the semantic field of deception by the instrumentality of artificial neural networks.  ...  A false statement is a complex linguistic, psychological and paralinguistic phenomenon.  ... 
doi:10.18778/1731-7533.19.1.06 fatcat:xatbf3rwuff7fknkthoqbzzhzy

Linguistic Interpretation of Russian Political Agenda Through Fake, Deepfake, Post-Truth

Anatoly P. Chudinov, Natalya N. Koshkarova, Natalia B. Ruzhentseva
2019 Journal of Siberian Federal University  
The paper examines the occurrences of fake, deepfake, and post-truth as destructive social phenomena from the linguistic point of view.  ...  The aim of the present study is to outline the linguistic factors influencing the process of fake news and deepfakes' formation.  ...  Introduction The problem of fake news and post-truth has garnered substantial attention of linguists recently.  ... 
doi:10.17516/1997-1370-0492 fatcat:ijws7lvqffhh3caxgloqi62p6u

FAKE NEWS ANALYSIS: LEXICAL AND SEMANTIC DECEPTION CUES

Yе. S. Revenko
2020 Scientific notes of Taurida National V.I. Vernadsky University, series Philology. Social Communications  
The review of scientific sources on the research topic is presented. The concepts "post-truth" and the categories of fake news are also considered.  ...  This research concentrates on the linguistic analysis of fake news texts as one of the most reliable methods of disinformation detection in the media space.  ...  Thus, the analysis of the semantic and linguistic features of fake news is relevant for understanding the role of fake news in creating the global infor-mation space, and therefore the language space as  ... 
doi:10.32838/2663-6069/2020.2-2/37 fatcat:2uzjmtpcl5fa3jpbutrzhhs2fi

A Survey on Natural Language Processing for Fake News Detection [article]

Ray Oshikawa, Jing Qian, William Yang Wang
2020 arXiv   pre-print
the spread of fake news.  ...  The rapid rise of social networking platforms has not only yielded a vast increase in information accessibility but has also accelerated the spread of fake news.  ...  This dataset collected data from Politifact as Vlachos and Riedel (2014) , but includes 12,836 real-world short statements, and each statement is labeled with six-grade truthfulness.  ... 
arXiv:1811.00770v2 fatcat:muo74knnsfehlmhcopqzivfo6q

TALIP Perspectives, Guest Editorial Commentary

Victoria L. Rubin
2014 ACM Transactions on Asian Language Information Processing  
The task of discerning truthful texts from deceptive ones is challenging, but a logical sequel to opinion mining.  ...  I suggest that applied computational linguists pursue broader interdisciplinary research on cultural differences and pragmatic use of language in Asian cultures, before turning to detection methods based  ...  The nature and specifics of opinions are important for predictive analyses, for instance, which product features do consumers tend to dislike, collectively, and specifically why?  ... 
doi:10.1145/2605292 fatcat:nmqn6wsouzgk5gpb3vr26cqzo4

Automated deception detection of 911 call transcripts

Mary B Burns, Kevin C Moffitt
2014 Security Informatics  
We mined the transcripts and analyzed a set of linguistic features supported by deception theories.  ...  The promising results of this study illustrate the potential of using automated linguistic analyses in crime investigations.  ...  Acknowledgements We are pleased to acknowledge the generous support from a Center for Identification Technology Research (CITeR) Grant for funding the data collection and analysis phases of this project  ... 
doi:10.1186/s13388-014-0008-2 fatcat:aqjfnclf2nbflh24vfuth474by

Politeness and formulaicity: Evidence from Cypriot Greek

Marina Terkourafi
2002 Journal of Greek Linguistics  
It is proposed that the latter combinations constitute formulae accessed during the production/interpretation of polite discourse in a holistic manner alongside perceivable features of the extra-linguistic  ...  It emerged that, rather than motivating the choice of a 'generic' politeness strategy corresponding to a certain degree of indirectness, particular combinations of values of extra-linguistic variables  ...  Within a frame-based approach, appealing to combinations of extra-linguistic features of the situation enables us to make this prediction.  ... 
doi:10.1075/jgl.3.08ter fatcat:kdmietn4kza7tllgfr2vqpvsem
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