Fake news pattern recognition using linguistic analysis
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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BRAC University
2018
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| Online Zugang: | http://hdl.handle.net/10361/10139 |
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10361-101392022-01-26T10:18:15Z Fake news pattern recognition using linguistic analysis Dey, Amitabha Rafi, Rafsan Zani Hasan, Shahriar Kundu, Sauvik Chakrabarty, Amitabha Department of Computer Science and Engineering, BRAC University Fake news Pattern recognition Linguistic analysis This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references. The upsurge of fake news in social media calls attention to the erosion of long-standing institutional defense against misinformation in this Digital Age. In the wake of the 2016 Presidential Election in US, where social media played a crucial role in swinging votes, fake news has been a subject of increased discussion and debate. Social media used for news consumption has both its perks and disadvantages. In one hand it is relatively inexpensive and can be easily accessed but at the same time the likelihood of falling prey to fake news cannot also be disregarded. In this paper, we initially examine some of the existing technologies and frameworks that have been adopted to augment humans to make better decisions when it comes to recognizing news deception. We perform veracity assessment; conduct a comprehensive linguistic analysis on tweets to extract bag-of-words to perform Classification, specially structured around a specific target, in an attempt to find noticeable pattern in reliable and untrustworthy news. We discuss several surveys that have been undertaken in the past to help us present a comprehensive review of detecting fake news on social media. We later turn to the discussion of interconnected research domains and future research directions for constructing an ideal model for fake news detection system around social media. Although designing a fake news detector is not a straightforward problem, we propose a head-down operational guideline for a feasible fake news detecting system from a linguistic perspective. Keywords - Deception, detection, social media, news verification, Bag of Words, linguistic analysis, semantic analysis, recognition, pattern, graph. Amitabha Dey Rafsan Zani Rafi Amitabha Dey Rafsan Zani Rafi Shahriar Hasan Parash Sauvik Kundu Arko B. Computer Science and Engineering 2018-05-14T05:10:20Z 2018-05-14T05:10:20Z 2018 2018-04 Thesis ID 13201070 ID 13201030 ID 14101233 ID 13201055 http://hdl.handle.net/10361/10139 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 34 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Fake news Pattern recognition Linguistic analysis |
| spellingShingle |
Fake news Pattern recognition Linguistic analysis Dey, Amitabha Rafi, Rafsan Zani Hasan, Shahriar Kundu, Sauvik Fake news pattern recognition using linguistic analysis |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Chakrabarty, Amitabha |
| author_facet |
Chakrabarty, Amitabha Dey, Amitabha Rafi, Rafsan Zani Hasan, Shahriar Kundu, Sauvik |
| format |
Thesis |
| author |
Dey, Amitabha Rafi, Rafsan Zani Hasan, Shahriar Kundu, Sauvik |
| author_sort |
Dey, Amitabha |
| title |
Fake news pattern recognition using linguistic analysis |
| title_short |
Fake news pattern recognition using linguistic analysis |
| title_full |
Fake news pattern recognition using linguistic analysis |
| title_fullStr |
Fake news pattern recognition using linguistic analysis |
| title_full_unstemmed |
Fake news pattern recognition using linguistic analysis |
| title_sort |
fake news pattern recognition using linguistic analysis |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/10139 |
| work_keys_str_mv |
AT deyamitabha fakenewspatternrecognitionusinglinguisticanalysis AT rafirafsanzani fakenewspatternrecognitionusinglinguisticanalysis AT hasanshahriar fakenewspatternrecognitionusinglinguisticanalysis AT kundusauvik fakenewspatternrecognitionusinglinguisticanalysis |
| _version_ |
1814308672619151360 |