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Detecting subtle text manipulations
A cross-article analysis chasing the signals of media framing
Date: 25 March 2020
Author: Martino Mensio
1
Information disorder
https://firstdraftnews.org/latest/fake-news-complicated/ 2
Media framing and bias
• Selection of details (Agenda setting [1]):
– Omitting details
– Rescale importance
• Specific word choices
• Mix of factual and subjective
• Argument distortion
3[1] Cohen, B.C., 2015. Press and foreign policy. Princeton University Press.
The need for cross-article analysis
Acknowledge: framing cannot be avoided
Research questions:
• Can we help the reader being aware of the framing
around the piece of news that is being consumed?
• Can we enrich the study of media framing with a
comparative analysis?
4
Two disjoint areas of research
5
+ Document clustering (e.g., news aggregators)
+ Corroboration and omissions of information [3]
+ Plagiarism detection
+ Semantic frames [2]
+ Structural role [4]
+ Sentiment and subjectivity [5]
- Analysis of differences is left to the reader - One article at a time
Document relationships Media framing analysis
Cross-article framing analysis [7]
+ Main focus change
+ Ordering
+ Selection of details
+ Framing differences
[2] Charles J Fillmore. Frame semantics. Cognitive linguistics: Basic readings, 34:373–400, 2006.
[3] Bountouridis, D., Marrero, M., Tintarev, N. and Hauff, C., 2018. Explaining credibility in news articles using cross-referencing. In SIGIR
workshop on ExplainAble Recommendation and Search (EARS).
[4] Zahid, I., Zhang, H., Boons, F. and Batista-Navarro, R., 2019. Towards the Automatic Analysis of the Structure of News Stories. In Text2Story@
ECIR (pp. 71-79).
[5] Liu, B., 2010. Sentiment analysis and subjectivity. Handbook of natural language processing, 2(2010), pp.627-666.
[6] Mensio, M.; Alani, H. and Willis, A., 2020. Towards a Cross-article Narrative Comparison of News. In: Proceedings of the Text2Story’20
Workshop, CEUR WS.
http://oro.open.ac.uk/69887/
Similarity
6
Similarity - Objective
Similarity applied at different levels:
• Article: same events (e.g., News aggregators)
• Sentence: the same detail (e.g. [3])
• Word: find specific words
Resistant to:
• Changes in the linguistic surface
• Changes in framing
7
[3] Bountouridis, D., Marrero, M., Tintarev, N. and Hauff, C., 2018. Explaining credibility in news articles using cross-referencing. In SIGIR
workshop on ExplainAble Recommendation and Search (EARS).
Similarity applied
Documents
Document
vectors
Documents
adjacency
matrix
Documents
Graph
[7] Devlin, J., Chang, M.W., Lee, K. and Toutanova, K., 2018. Bert: Pre-training of deep bidirectional transformers for language understanding.
arXiv preprint arXiv:1810.04805.
[8] Cer, D., Yang, Y., Kong, S.Y., Hua, N., Limtiaco, N., John, R.S., Constant, N., Guajardo-Cespedes, M., Yuan, S., Tar, C. and Sung, Y.H., 2018.
Universal sentence encoder. arXiv preprint arXiv:1803.11175.
[9] Johnson, J., Douze, M. and Jégou, H., 2019. Billion-scale similarity search with GPUs. IEEE Transactions on Big Data. 8
Sentences Sentence
vectors
Sentences
adjacency
matrix
Sentences
Graph
Sentencisation
•similarity
•Indexing [9]
•Threshold
•Cliques
Embedding [7,8]
Example: sentence-sentence similarity
First article: https://www.bbc.co.uk/news/uk-northern-ireland-51478855
Second article: https://news.sky.com/story/lyra-mckee-man-charged-with-murder-of-journalist-in-northern-ireland-11932429
9
Example: word-word similarity
First article: https://www.bbc.co.uk/news/uk-england-hereford-worcester-51791346
Second article: https://www.dailymail.co.uk/news/article-8088805/Britons-facing-heavy-downpours-four-inches-rain-50mph-winds-set-batter-UK.html
10
Example: word-word similarity
1: “Coronavirus: Strict new curbs on life in UK announced by PM” https://www.bbc.co.uk/news/uk-52012432
2: “The moment a British prime minister put the whole nation under house arrest”
https://www.independent.co.uk/voices/lockdown-coronavirus-boris-johnson-address-statement-social-distancing-isolate-a9420131.html
• Shopping trips should be as infrequent as possible • One form of exercise a day such as a run,
walk, or cycle.
• We are allowed out to buy necessities – “as infrequently as possible” – and to do our state-
approved exercise – once a day.
11
Media Framing Signals
12
Framing indicators
• Semantic frames [2]
• Structural role [4]
• Subjectivity / sentiment strength [5]
13
[2] Charles J Fillmore. Frame semantics. Cognitive linguistics: Basic readings, 34:373–400, 2006.
[4] Zahid, I., Zhang, H., Boons, F. and Batista-Navarro, R., 2019. Towards the Automatic Analysis of the Structure of News Stories. In Text2Story@
ECIR (pp. 71-79).
[5] Liu, B., 2010. Sentiment analysis and subjectivity. Handbook of natural language processing, 2(2010), pp.627-666.
That’s all for now…
https://twitter.com/MartinoMensio
14
Similarity
Framing
signals
Evaluation

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Detecting subtle text manipulations

  • 1. Detecting subtle text manipulations A cross-article analysis chasing the signals of media framing Date: 25 March 2020 Author: Martino Mensio 1
  • 3. Media framing and bias • Selection of details (Agenda setting [1]): – Omitting details – Rescale importance • Specific word choices • Mix of factual and subjective • Argument distortion 3[1] Cohen, B.C., 2015. Press and foreign policy. Princeton University Press.
  • 4. The need for cross-article analysis Acknowledge: framing cannot be avoided Research questions: • Can we help the reader being aware of the framing around the piece of news that is being consumed? • Can we enrich the study of media framing with a comparative analysis? 4
  • 5. Two disjoint areas of research 5 + Document clustering (e.g., news aggregators) + Corroboration and omissions of information [3] + Plagiarism detection + Semantic frames [2] + Structural role [4] + Sentiment and subjectivity [5] - Analysis of differences is left to the reader - One article at a time Document relationships Media framing analysis Cross-article framing analysis [7] + Main focus change + Ordering + Selection of details + Framing differences [2] Charles J Fillmore. Frame semantics. Cognitive linguistics: Basic readings, 34:373–400, 2006. [3] Bountouridis, D., Marrero, M., Tintarev, N. and Hauff, C., 2018. Explaining credibility in news articles using cross-referencing. In SIGIR workshop on ExplainAble Recommendation and Search (EARS). [4] Zahid, I., Zhang, H., Boons, F. and Batista-Navarro, R., 2019. Towards the Automatic Analysis of the Structure of News Stories. In Text2Story@ ECIR (pp. 71-79). [5] Liu, B., 2010. Sentiment analysis and subjectivity. Handbook of natural language processing, 2(2010), pp.627-666. [6] Mensio, M.; Alani, H. and Willis, A., 2020. Towards a Cross-article Narrative Comparison of News. In: Proceedings of the Text2Story’20 Workshop, CEUR WS. http://oro.open.ac.uk/69887/
  • 7. Similarity - Objective Similarity applied at different levels: • Article: same events (e.g., News aggregators) • Sentence: the same detail (e.g. [3]) • Word: find specific words Resistant to: • Changes in the linguistic surface • Changes in framing 7 [3] Bountouridis, D., Marrero, M., Tintarev, N. and Hauff, C., 2018. Explaining credibility in news articles using cross-referencing. In SIGIR workshop on ExplainAble Recommendation and Search (EARS).
  • 8. Similarity applied Documents Document vectors Documents adjacency matrix Documents Graph [7] Devlin, J., Chang, M.W., Lee, K. and Toutanova, K., 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805. [8] Cer, D., Yang, Y., Kong, S.Y., Hua, N., Limtiaco, N., John, R.S., Constant, N., Guajardo-Cespedes, M., Yuan, S., Tar, C. and Sung, Y.H., 2018. Universal sentence encoder. arXiv preprint arXiv:1803.11175. [9] Johnson, J., Douze, M. and Jégou, H., 2019. Billion-scale similarity search with GPUs. IEEE Transactions on Big Data. 8 Sentences Sentence vectors Sentences adjacency matrix Sentences Graph Sentencisation •similarity •Indexing [9] •Threshold •Cliques Embedding [7,8]
  • 9. Example: sentence-sentence similarity First article: https://www.bbc.co.uk/news/uk-northern-ireland-51478855 Second article: https://news.sky.com/story/lyra-mckee-man-charged-with-murder-of-journalist-in-northern-ireland-11932429 9
  • 10. Example: word-word similarity First article: https://www.bbc.co.uk/news/uk-england-hereford-worcester-51791346 Second article: https://www.dailymail.co.uk/news/article-8088805/Britons-facing-heavy-downpours-four-inches-rain-50mph-winds-set-batter-UK.html 10
  • 11. Example: word-word similarity 1: “Coronavirus: Strict new curbs on life in UK announced by PM” https://www.bbc.co.uk/news/uk-52012432 2: “The moment a British prime minister put the whole nation under house arrest” https://www.independent.co.uk/voices/lockdown-coronavirus-boris-johnson-address-statement-social-distancing-isolate-a9420131.html • Shopping trips should be as infrequent as possible • One form of exercise a day such as a run, walk, or cycle. • We are allowed out to buy necessities – “as infrequently as possible” – and to do our state- approved exercise – once a day. 11
  • 13. Framing indicators • Semantic frames [2] • Structural role [4] • Subjectivity / sentiment strength [5] 13 [2] Charles J Fillmore. Frame semantics. Cognitive linguistics: Basic readings, 34:373–400, 2006. [4] Zahid, I., Zhang, H., Boons, F. and Batista-Navarro, R., 2019. Towards the Automatic Analysis of the Structure of News Stories. In Text2Story@ ECIR (pp. 71-79). [5] Liu, B., 2010. Sentiment analysis and subjectivity. Handbook of natural language processing, 2(2010), pp.627-666.
  • 14. That’s all for now… https://twitter.com/MartinoMensio 14 Similarity Framing signals Evaluation