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A Stylometric Inquiry into Hyperpartisan and Fake News Martin Potthast , Johannes Kiesel , Kevin Reinartz , Janek Bevendorff , Benno Stein Leipzig University, Bauhaus-Universitt Weimar webis.de ACL, July 16th, 2018


  1. A Stylometric Inquiry into Hyperpartisan and Fake News Martin Potthast ∗ , Johannes Kiesel † , Kevin Reinartz † , Janek Bevendorff † , Benno Stein † ∗ Leipzig University, † Bauhaus-Universität Weimar webis.de ACL, July 16th, 2018 @KieselJohannes 1

  2. @KieselJohannes 2

  3. @KieselJohannes 3

  4. What are Fake News? Disinformation displayed as news articles @KieselJohannes 4

  5. What are Fake News? Disinformation displayed as news articles Image: Claire Wardle, First Draft @KieselJohannes 5

  6. What are Fake News? Disinformation displayed as news articles Image: Claire Wardle, First Draft @KieselJohannes 6

  7. A Stylometric Inquiry into Hyperpartisan “News” and “News” in False Context and/or with Content that is Impostered, Manipulated, and/or Fabricated Martin Potthast ∗ , Johannes Kiesel † , Kevin Reinartz † , Janek Bevendorff † , Benno Stein † ∗ Leipzig University, † Bauhaus-Universität Weimar webis.de ACL, July 16th, 2018 @KieselJohannes 7

  8. The Political Spectrum The left-right political spectrum is a system of classifying political positions, ideologies and parties. Left-wing politics and right-wing politics are often presented as opposed, although either may adopt stances from the other side. [Wikipedia] Alt-left Left Center Right Alt-right @KieselJohannes 8

  9. The Political Spectrum The left-right political spectrum is a system of classifying political positions, ideologies and parties. Left-wing politics and right-wing politics are often presented as opposed, although either may adopt stances from the other side. [Wikipedia] Alt-left Left Center Right Alt-right Liberal Conservative @KieselJohannes 9

  10. The Political Spectrum The left-right political spectrum is a system of classifying political positions, ideologies and parties. Left-wing politics and right-wing politics are often presented as opposed, although either may adopt stances from the other side. [Wikipedia] Alt-left Left Center Right Alt-right Liberal Conservative Hyperpartisan Partisan Partisan Hyperpartisan Partisan: someone with a psychological identification with one major party. [Wikipedia] @KieselJohannes 10

  11. The Political Spectrum The left-right political spectrum is a system of classifying political positions, ideologies and parties. Left-wing politics and right-wing politics are often presented as opposed, although either may adopt stances from the other side. [Wikipedia] Alt-left Left Center Right Alt-right Liberal Conservative Hyperpartisan Partisan Partisan Hyperpartisan Partisan: someone with a psychological identification with one major party. [Wikipedia] News media reporting on politics can be aligned on this spectrum as well. We are observing an increasing number of hyperpartisan news publishers. @KieselJohannes 11

  12. Fake News and Hyperpartisan News @KieselJohannes 12

  13. Why are Fake News Published by Hyperpartisan Pages? Image: Claire Wardle, First Draft @KieselJohannes 13

  14. Why are Fake News Published by Hyperpartisan Pages? Image: Claire Wardle, First Draft @KieselJohannes 14

  15. Fake News Detection Taxonomy of Approaches Fake news detection Knowledge-based Knowledge-based (also called fact checking) ❑ Requires political knowledge base Etzioni et al., 2018 Information retrieval Magdy and Wanas, 2010 ❑ Unavailable ahead of time Ginsca et al., 2015 ❑ We cannot trust the web Wu et al., 2014 Semantic web / LOD Ciampaglia et al, 2015 Shi and Weninger, 2016 Long et al., 2017 Context-based Mocanu et al., 2015 Context-based Acemoglu et al., 2010 Kwon et al., 2013 ❑ Limited to social media platforms Ma et al., 2017 Social network analysis Volkova et al., 2017 ❑ Part of damage already done Budak et al., 2011 Nguyen et al. 2012 Derczynski et al., 2017 Style-based Tambuscio et al., 2015 Style-based Wei et al., 2013 Chen et al., 2015 Deception detection Rubin et al., 2015 ❑ Allows for pre-posting check Wang et al., 2017 Bourgonje et al., 2017 ❑ Real-time reaction possible Afroz et al., 2012 Badaskar et al., 2008 ❑ Hard to mask Rubin et al., 2016 Text categorization Yang et al., 2017 ❑ But are style differences sufficient? Rashkin et al., 2017 Horne and Adali, 2017 Pérez-Rosas et al., 2017 @KieselJohannes 15

  16. Fake News and Hyperpartisan News Corpus Construction @KieselJohannes 16

  17. Fake News and Hyperpartisan News Corpus Construction Orientation Fact-checking results Publisher true mix false n/a Σ Center 806 8 0 12 826 ABC News 90 2 0 3 95 CNN 295 4 0 8 307 Politico 421 2 0 1 424 Left-wing 182 51 15 8 256 Addicting Info 95 25 8 7 135 Occupy Democrats 59 25 7 0 91 The Other 98% 28 1 0 1 30 Right-wing 276 153 72 44 545 Eagle Rising 106 47 25 36 214 Freedom Daily 49 24 22 4 99 Right Wing News 121 82 25 4 232 Σ 1264 212 87 64 1627 Annotations provided by journalists at BuzzFeed @KieselJohannes 17

  18. Fake News and Hyperpartisan News Selected Results Orientation Fact-checking results Publisher true mix false n/a Σ Center 806 8 0 12 826 ABC News 90 2 0 3 95 CNN 295 4 0 8 307 Fake News Detection Politico 421 2 0 1 424 Left-wing 182 51 15 8 256 Precision ≈ 42% Addicting Info 95 25 8 7 135 Recall ≈ 41% Occupy Democrats 59 25 7 0 91 The Other 98% 28 1 0 1 30 Right-wing 276 153 72 44 545 Eagle Rising 106 47 25 36 214 Freedom Daily 49 24 22 4 99 Right Wing News 121 82 25 4 232 Σ 1264 212 87 64 1627 Annotations provided by journalists at BuzzFeed @KieselJohannes 18

  19. Fake News and Hyperpartisan News Selected Results Orientation Fact-checking results Publisher true mix false n/a Σ Center 806 8 0 12 826 ABC News 90 2 0 3 95 CNN 295 4 0 8 307 Orientation Detection Politico 421 2 0 1 424 Left-wing 182 51 15 8 256 Precision ≈ 21% Precision ≈ 56% Addicting Info 95 25 8 7 135 Recall ≈ 20% Recall ≈ 59% Occupy Democrats 59 25 7 0 91 The Other 98% 28 1 0 1 30 Right-wing 276 153 72 44 545 Eagle Rising 106 47 25 36 214 Freedom Daily 49 24 22 4 99 Right Wing News 121 82 25 4 232 Σ 1264 212 87 64 1627 Annotations provided by journalists at BuzzFeed @KieselJohannes 19

  20. Fake News and Hyperpartisan News Selected Results Orientation Fact-checking results Publisher true mix false n/a Σ Center 806 8 0 12 826 ABC News 90 2 0 3 95 CNN 295 4 0 8 307 Hyperpartisanship Detection Politico 421 2 0 1 424 Left-wing 182 51 15 8 256 Precision ≈ 69% Addicting Info 95 25 8 7 135 Recall ≈ 89% Occupy Democrats 59 25 7 0 91 The Other 98% 28 1 0 1 30 Right-wing 276 153 72 44 545 Eagle Rising 106 47 25 36 214 Freedom Daily 49 24 22 4 99 Right Wing News 121 82 25 4 232 Σ 1264 212 87 64 1627 Annotations provided by journalists at BuzzFeed @KieselJohannes 20

  21. Fake News and Hyperpartisan News How can it be that the alt left and the alt right cannot be distinguished from the mainstream, when both together (hyperpartisan news) can be? Alt-left Left Center Right Alt-right Liberal Conservative Hyperpartisan Partisan Partisan Hyperpartisan @KieselJohannes 21

  22. Fake News and Hyperpartisan News How can it be that the alt left and the alt right cannot be distinguished from the mainstream, when both together (hyperpartisan news) can be? Center Left Right Partisan Alt-left Hyperpartisan Alt-right @KieselJohannes 22

  23. Fake News and Hyperpartisan News How can it be that the alt left and the alt right cannot be distinguished from the mainstream, when both together (hyperpartisan news) can be? Center Left Right Partisan Alt-left Hyperpartisan Alt-right The horseshoe theory asserts that the alt left and the alt right, rather than being at opposite and opposing ends of a linear political continuum, in fact closely resemble one another, much like the ends of a horseshoe. [Wikipedia] @KieselJohannes 23

  24. Horseshoe Validation Experiment I Leave-out Classification left-wing center right-wing @KieselJohannes 24

  25. Horseshoe Validation Experiment I Leave-out Classification left-wing center right-wing ❑ Classifier is trained to distinguish left-wing and center articles ❑ Right-wing articles are used for testing ❑ Majority of right-wing articles are classified as left-wing rather than center @KieselJohannes 25

  26. Horseshoe Validation Experiment I Leave-out Classification left-wing center right-wing 74% | 26% ❑ Classifier is trained to distinguish left-wing and center articles ❑ Right-wing articles are used for testing ❑ Majority of right-wing articles are classified as left-wing rather than center @KieselJohannes 26

  27. Horseshoe Validation Experiment I Leave-out Classification left-wing center right-wing 74% | 26% ❑ Classifier is trained to distinguish left-wing and center articles ❑ Right-wing articles are used for testing ❑ Majority of right-wing articles are classified as left-wing rather than center left-wing center right-wing 34% | 66% @KieselJohannes 27

  28. Horseshoe Validation Experiment II Unmasking [Koppel/Schler 2004] ? = A B @KieselJohannes 28

  29. Horseshoe Validation Experiment II Unmasking [Koppel/Schler 2004] ? = A B A B @KieselJohannes 29

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