Tweet Credibility Ranker: A Credibility Features’ Fusion Model

Hermida A. Twittering the news: the emergence of ambient journalism. Journal Pract. 2010;4(3):297–308.

Kwak H, Lee C, Park H, Moon S. What is Twitter, a social network or a news media?. In: Proceedings of the 19th international conference on World wide web; 2010:591–600.

Hu M, Liu S, Wei F, Wu Y, Stasko J, Ma K.-L. Breaking news on Twitter. In: Proceedings of the SIGCHI conference on human factors in computing systems; 2012:2751–2754.

Perrin A. Social media usage. Pew Res Cent. 2015:52–68.

Shearer E, Gottfried B.J. News use across social media platforms 2017. Pew Res Cent. 2017;(2017):17.

Mendoza M, Poblete B, Castillo C. Twitter under crisis: can we trust what we RT?. In: Proceedings of the first workshop on social media analytics; 2010:71–79.

Briscoe EJ, Appling DS, Hayes H. Social network derived credibility,. In: Recommendation and search in social networks, Springer; 2015:59–75.

Laird S. How social media is taking over the news industry. Retrieved on: Mashable; 2012.

MATH  Google Scholar 

Perrin A. Social media usage: 2005-2015. Accessed 1 12 2024. https://www.pewresearch.org/internet/2015/10/08/social-networking-usage-2005-2015/

Elisa Shearer K.E.M. Social media usage: 2018. Accessed 1 12 2024. https://www.journalism.org/2018/09/10/news-use-across-social-media-platforms-2018/

Blatchford T. Americans believe two-thirds of news on social media is misinformation. Accessed 1 12 2024. https://www.poynter.org/ethics-trust/2018/americans-believe-two-thirds-of-news-on-social-media-is-misinformation/

Hsu C-C, Ajorlou A, Jadbabaie A. Persuasion, news sharing, and cascades on social networks. In: 2021 60th IEEE Conference on decision and control (CDC); 2022:4970–4975.

Howell L, et al. Digital wildfires in a hyperconnected world. WEF report. 2013;3(2013):15–94.

MATH  Google Scholar 

Molony T. Social media warfare and Kenya’s conflict with Al Shabaab in Somalia: a right to know? Afr Aff. 2019;118(471):328–51.

Article  MATH  Google Scholar 

Qureshi KA, Malick RAS, Sabih M. Social media and microblogs credibility: identification, theory driven framework, and recommendation, IEEE Access; 2021:1–1.

Pierri F, Ceri S. False news on social media: a data-driven survey. ACM SIGMOD Rec. 2019;48(2):18–27.

Article  MATH  Google Scholar 

Roozenbeek J, van der Linden S. Fake news game confers psychological resistance against online misinformation. Palgrave Commun. 2019;5(1):1–10.

Article  Google Scholar 

Volkova S, Shaffer K, Jang JY, Hodas N. Separating facts from fiction: linguistic models to classify suspicious and trusted news posts on Twitter. In: Proceedings of the 55th annual meeting of the association for computational linguistics (Volume 2: Short Papers); 2017:647–653.

Qureshi KA, Sabih M. Un-compromised credibility: social media based multi-class hate speech classification for text. IEEE Access. 2021;9:109465–77.

Article  MATH  Google Scholar 

Fortuna P, Nunes S. A survey on automatic detection of hate speech in text. ACMComput Surv (CSUR). 2018;51(4):1–30.

MATH  Google Scholar 

Varol O, Ferrara E, Davis CA, Menczer F, Flammini A. Online human-bot interactions: detection, estimation, and characterization. In: Eleventh international AAAI conference on web and social media; 2017.

Jiang M, Cui P, Faloutsos C. Suspicious behavior detection: current trends and future directions. IEEE Intell Syst. 2016;31(1):31–9.

Article  MATH  Google Scholar 

Shao C, Hui P-M, Wang L, Jiang X, Flammini A, Menczer F, Ciampaglia GL. Anatomy of an online misinformation network. PLoS ONE. 2018;13(4): e0196087.

Article  Google Scholar 

Hindman M, Barash V. Disinformation, and influence campaigns on Twitter. 2018.

Ngo T, Wischnewski M, Bernemann R, Jansen M, Krämer N. Spot the bot: investigating user’s detection cues for social bots and their willingness to verify Twitter profiles. Comput Hum Behav. 2023;146:107819.

Article  Google Scholar 

Jin Z, Cao J, Guo H, Zhang Y, Wang Y, Luo J. Detection and analysis of 2016 US presidential election related rumors on Twitter. In: International conference on social computing, behavioral-cultural modeling and prediction and behavior representation in modeling and simulation, Springer; 2017:14–24.

Allcott H, Gentzkow M. Social media and fake news in the 2016 election. Journal of economic perspectives. 2017;31(2):211–36.

Article  MATH  Google Scholar 

Faris R, Roberts H, Etling B, Bourassa N, Zuckerman E, Benkler Y. "Partisanship, propaganda, and disinformation: Online media and the,. US presidential election,". Berkman Klein Center Research Publication. 2016;6:2017.

Bovet A, Makse HA. Influence of fake news in Twitter during the 2016 US presidential election. Nat Commun. 2019;10(1):1–14.

Article  MATH  Google Scholar 

Bálint P, Bálint G. The Semmelweis-reflex. Orv Hetil. 2009;150(30):1430–1430.

Article  MATH  Google Scholar 

Roets A, et al. ‘fake news’: incorrect, but hard to correct. the role of cognitive ability on the impact of false information on social impressions. Intelligence. 2017;65:107–10.

Article  MATH  Google Scholar 

Kumar S, Shah N, False information on web and social media: a survey. arXiv preprint arXiv:1804.08559, 2018.

AlRubaian M, Al-Qurishi M, Al-Rakhami M, Rahman SMM, Alamri A. A multistage credibility analysis model for microblogs. In: 2015 IEEE/ACM International conference on advances in social networks analysis and mining (ASONAM), IEEE; 2015:1434–1440.

Gwiaździński P, Gundersen AB, Piksa M, Krysińska I, Kunst JR, Noworyta K, Olejniuk A, Morzy M, Rygula R, Wójtowicz T, et al. Psychological interventions countering misinformation in social media: a scoping review. Front Psych. 2023;13:974782.

Article  Google Scholar 

Rieh SY, Danielson DR. Credibility: a multidisciplinary framework. 2007.

Self CC, Roberts C. Credibility. In: An Integrated Approach to Communication Theory and Research, Routledge; 2019:435–446.

Ahmad M, Jan M.A. Evaluating research: diversity and credibility of information sources., Dialogue (Pakistan). 2018;13:4.

Rieh SY, Morris MR, Metzger MJ, Francke H, Jeon GY. Credibility perceptions of content contributors and consumers in social media. Proceedings of the American Society for Information Science and Technology. 2014;51(1):1–4.

Google Scholar 

Bentéjac C, Csörgő A, Martínez-Muñoz G. A comparative analysis of gradient boosting algorithms. Artif Intell Rev. 2021;54:1937–67.

Article  MATH  Google Scholar 

Thompson NC, Greenewald K, Lee K, Manso GF. The computational limits of deep learning. arXiv preprint arXiv:2007.05558, 2021.

Lisboa P, Saralajew S, Vellido A, Fernández-Domenech R, Villmann T. The coming of age of interpretable and explainable machine learning models. Neurocomputing. 2023;535:25–39.

Article  MATH  Google Scholar 

Popat K.K. Credibility analysis of textual claims with explainable evidence. 2019.

Bhattarai B, Granmo O-C, Jiao L. Explainable tsetlin machine framework for fake news detection with credibility score assessment. 2021. arXiv preprint arXiv:2105.09114

Shu K, Cui L, Wang S, Lee D, Liu H. defend: Explainable fake news detection. In: Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining; 2019:395–405 .

Silva A, Han Y, Luo L, Karunasekera S, Leckie C. Propagation2vec: embedding partial propagation networks for explainable fake news early detection. Information Processing & Management. 2021;58(5):102618.

Article  Google Scholar 

Chen X, Lo LY-H, Qu H. Sirenless: reveal the intention behind news. 2021. arXiv preprint arXiv:2001.02731

Alrubaian M, Al-Qurishi M, Hassan MM, Alamri A. A credibility analysis system for assessing information on Twitter. IEEE Trans Dependable Secure Comput. 2016;15(4):661–74.

Google Scholar 

Xia X, Yang X, Wu C, Li S, Bao L. Information credibility on Twitter in emergency situation. In: Pacific-Asia workshop on intelligence and security informatics, Springer; 2012:45–59.

Gupta A, Kumaraguru P, Castillo C, Meier P. TweetCred: real-time credibility assessment of content on Twitter. In: International conference on social informatics, Springer; 2014:228–243.

Castillo C, Mendoza M, Poblete B. Information credibility on Twitter. In: Proceedings of the 20th international conference on World wide web; 2011:675–684.

Gupta A, Kumaraguru P. Credibility ranking of tweets during high impact events. In: Proceedings of the 1st workshop on privacy and security in online social media; 2012:2–8.

Al-Khalifa HS, Al-Eidan RM. An experimental system for measuring the credibility of news content in Twitter. Int J Web Inform Syst. 2011.

Ito J, Song J, Toda H, Koike Y, Oyama S. Assessment of tweet credibility with LDA features. In: Proceedings of the 24th international conference on world wide web; 2015:953–958.

Kang B, O’Donovan J, Höllerer T. Modeling topic specific credibility on Twitter. In: Proceedings of the 2012 ACM international conference on Intelligent User Interfaces; 2012:179–188.

Lorek K, Suehiro-Wiciński J, Jankowski-Lorek M, Gupta A. Automated credibility assessment on Twitter. Computer Science. 2015;16(2):157–68.

Article  MATH  Google Scholar 

Gün A, Karagöz P. A hybrid approach for credibility detection in Twitter. In: International Conference on Hybrid Artificial Intelligence Systems, Springer; 2014:515–526.

Jin Z, Cao J, Jiang Y-G, Zhang Y. News credibility evaluation on microblog with a hierarchical propagation model. In: 2014 IEEE International conference on data mining, IEEE; 2014:230–239.

Gupta M, Zhao P, Han J. Evaluating event credibility on Twitter. In: Proceedings of the 2012 SIAM International Conference on Data Mining, SIAM; 2012:153–164.

Chu Z, Gianvecchio S, Wang H, Jajodia S. Detecting automation of Twitter accounts: are you a human, bot, or cyborg? IEEE Trans Dependable Secure Comput. 2012;9(6):811–24.

Article  Google Scholar 

Qureshi K.A. Credibility as informativeness: predicting informative tweets, Nov. 2021.

Chao F, Zhou Q, Zhao J, Xu Y, Yu G. Trustworthiness matters: effect of source credibility on sharing debunking information across different rumour types. Inform Process Manag. 2024;61(4):103747.

Chiluwa IE, Samoilenko S.A. Handbook of research on deception, fake news, and misinformation online. Inform Sci Ref/IGI Glob. 2019.

Qureshi KA, Malick RAS, Sabih M, Cherifi H. Deception detection on social media: a source-based perspective. Knowl-Based Syst. 2022;256:109649.

Article  MATH  Google Scholar 

Majerczak P, Strzelecki A. Trust, media credibility, social ties, and the intention to share towards information verification in an age of fake news. Behav Sci. 2022;12(2):51.

Article  MATH  Google Scholar 

Shu K, Mahudeswaran D, Wang S, Lee D, Liu H. Fakenewsnet: a data repository with news content, social context and spatialtemporal information for studying fake news on social media. 2018. arXiv preprint arXiv:1809.01286

Pierri F, Ceri S. False news on social media: a data-driven survey. ACM SIGMOD Rec. 2019;48(2):18–27.

Article  MATH  Google Scholar 

Dutton WH, Blank G, Groselj D. Cultures of the internet: the internet in Britain: Oxford Internet Survey 2013 Report. Oxford Internet Institute. 2013.

Riquelme F, González-Cantergiani P. Measuring user influence on Twitter: a survey. Information processing & management. 2016;52(5):949–75.

Article  MATH  Google Scholar 

Gamage R, Wickramaarachchi D, Senanayake J, Source impact and credibility assessment on Twitter users. 2021.

Elin K, Alice H. Analysing credibility of twitter users using the pagerank algorithm. 2017.

Anand K, Kumar J, Anand K. Anomaly detection in online social network: a survey. In: 2017 International conference on inventive communication and computational technologies (ICICCT); 2017:456–459.

Saquib S, Ali R. Malicious behavior in online social network. In: 2015 IEEE Workshop on computational intelligence: theories, applications and future directions (WCI), IEEE; 2015:1–6.

Cha M, Haddadi H, Benevenuto F, Gummadi K.P. Measuring user influence in Twitter: the million follower fallacy. In: Fourth international AAAI conference on weblogs and social media; 2010.

Sahoo SR, Gupta BB. Hybrid approach for detection of malicious profiles in Twitter. Comput Electr Eng. 2019;76:65–81.

Article  MATH  Google Scholar 

Venkatesh R, Rout JK, Jena S. Malicious account detection based on short URLs in Twitter. In: Proceedings of the international conference on signal, networks, computing, and systems, Springer; 2017:243–251.

David I, Siordia OS, Moctezuma D. Features combination for the detection of malicious Twitter accounts. In: 2016 IEEE International autumn meeting on power, electronics and computing (ROPEC), IEEE; 2016:1–6.

Singh M, Bansal D, Sofat S. Detecting malicious users in Twitter using classifiers. In: Proceedings of the 7th international conference on security of information and networks; 2014:247–253.

Varol O, Ferrara E, Davis C, Menczer F, Flammini A. Online human-bot interactions: detection, estimation, and characterization. In: Proceedings of the international AAAI conference on web and social media; 2017. vol. 11.

Multi-class and automated tweet categorization, Zenodo, Nov. 2021.

Web of trust API. Accessed 1 12 2024. https://www.mywot.com/developers.

Ismail A, Kuppusamy K, Kumar A, Ojha PK. Connect the dots: accessibility, readability and site ranking-an investigation with reference to top ranked websites of government of India. J King Saud University-Comput Inform Sci. 2019;31(4):528–40.

Google Scholar 

Alexa rank. Accessed 1 12 2024. https://www.alexa.com/siteinfo

List of swear words. Accessed 1 12 2024. https://www.noswearing.com/dictionary

Textblob python library. Accessed 1 12 2024. https://textblob.readthedocs.io/en/dev/

Lexicon-based emotion analysis. Accessed 1 12 2024. https://github.com/glhuilli/limbic

Credibility ground truths. 2021. https://didyoucheckfirst.wordpress.com/ opensources-co-news-sites/

Wiki fake sites. 2021. https://en.wikipedia.org/wiki/ List_of_fake_news_websites

News guard tech. 2021.

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