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Martina Chichi describes Amnesty International Italy's Barometer of Hate Project

Martina Chichi describes Amnesty International Italy's Barometer of Hate Project, which approaches online hate speech from a human rights perspective. Their goal is to pin down the main targets and triggers for online abuse in Italy, and determine the extent of politician accountability in the level of discourse.
Data Science Salon Vol. 3 on 21 Oct 2019: Social Media – Monitoring Their Impact on Civil Society

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Martina Chichi describes Amnesty International Italy's Barometer of Hate Project

  1. 1. The Barometer of hatred and verbal violence in Italy 21/10/2019, Wien
  2. 2. 800 segnalazioni 100.000 contenuti valutatirecorded contents recorded contents 6 weeks of social�media monitoring 3 weeks of social�media monitoring 600 activists 180 activists, 2.000 hours of engagement 1.400 candidates' posts/tweets 461 candidates' posts/tweets + comments of general users NATIONAL ELECTIONS 2018 EUROPEAN ELECTIONS 2019
  3. 3. 11,5% (more than�1/10) of contents (posts/tweets +�comments/replies) are offensive and/or�discriminatory or hate speech. Human rights represent a marginal part of the political debate on social media. The most present topics of�this thematic area are migration, solidarity world (NGOs etc.) and religious minorities. Politicians' posts and tweets about polarizing topics such as migration and religious minorities generate a bigger percentage of offensive/discriminatory/hate speech comments and replies.�
  4. 4. 0% 37% 10% 32% 21% 50% 40% 48% 40% 33% The graph doesn't include the LBGTI minority, why? Occurencies about LGBTI rights/community were too few to have statistical relevance. The�LGBTI minority resulted�almost invisible in the political debate on social media and, when present,�the percentage of offensive and/or discriminatory or hate speech comments was high.� Topics with an high percentage of politicians' offensive and/or discriminatory�posts/tweets collect more likes, shares and comments/replies. Women Solidarity Migration Religious minorities Roma Graph: percentages of offensive and/or discriminatory or hate speech contents By politicians By general users Hate against women is�peculiar - even if politicians doesn't speak negatevely about this topic, it arouses much controversy among general�users. Offensive and/or discriminatory politicians' posts and tweets�generate a bigger percentage of offensive/discriminatory/hate speech comments and replies.�
  5. 5. 0,6% 1,1% 4,6% 0,9% 0,2% Women NGOs Migrantsand refugess Muslims Graph: percentages of attacks against minorities Roma 2 74 222 78 43 0,6% 1,1% 4,7% 0,9% 0,2%Focusing only on hate speech (no offensive nor discriminatory)� comments/replies by� general users, these are the 3 main targets: 1. Muslims 2. Migrants and refugees 3. Women Attacks -�general users (percentage) Attacks -�politicians (number)
  6. 6. Hate can be very explicit in general users' comments and replies, while it is usually less evident in politicians' posts and tweets.� A typical offensive and/or discriminatory politicians' post/tweet usually: 1.�points the finger at an individual (better if the individual represents one or more minorities/topics subject of�hatred)� 2. reports a news about�one or more minorities/topics subject of�hatred) In both cases politicians firstly create a fertile ground for hate speech and�then ask people to share�their opinion about the content.
  7. 7. Politicians know divisive topics generate more interactions, as well as negative contents�and they adopt consequent strategies. When divisive topics and/or minorities overlap, hate level can�rise even more. Politicians also invest in hate - hateful posts are a consistent part of advertisement campaigns on Facebook. Among 461 monitored politicians�1/2 of the interactions (posts and tweets +�likes, shares, comments and replies) are generated by one person,�Matteo Salvini. 75% of the interactions is generated by Lega and Fratelli d'Italia, with an impact on the social media agenda (topics and meanings).
  8. 8. Further details: Contacts: |� Thanks!