Temps de lecture : 12 minutes
References
↑1 | Di Meco, L. (2020). Online threats to women’s political participation and the need for a multi-stakeholder, cohesive approach to address them, 65ème commission sur le Statut des femmes, Nations Unies. |
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↑2 | Unlike misinformation, which is the sharing of false information with no intention of causing harm, the primary aim of disinformation is to harm the individual targeted. |
↑3 | Sobieraj, S. (2020). Credible threat: attacks against women online and the future of democracy, Oxford University Press. |
↑4 | The study “Sex, lies, and stereotypes: gendered implications of fake news for women in politics” highlights this fact. Based on the false information relayed during the 2016 American campaign, the researchers found that Hillary Clinton’s name was twice as associated with deception and sexual assault as Trump’s, even though the candidate was accused of sexual harassment. Stabile, B. Grant, A. Grant, Purohit, H. Harris, K. (2019). Sex, lies, and stereotypes: gendered implications of fake news for women in politics, Routledge. |
↑5 | AFP, (2023). BBC admits error over ‘Can women have it all?’ headline on Jacinda Ardern resignation story, The journal. https://www.thejournal.ie/bbc-admits-error-jacinda-ardern-headline-5974462-Jan2023/ |
↑6 | According to Le Robert, which added the word to the dictionary in 2013, a ‘meme’ is “a humorous image, video or text that spreads widely on the Internet, particularly on social networks, and is the subject of many variations”. |
↑7 | The term “Deepfake” refers to a technique that uses artificial intelligence algorithms to create or alter digital content, usually videos or images, in a convincing way by replacing the original subject with someone else or by generating entirely fabricated videos. “Deepfake” is a combination of “deep learning” and “fake”. |
↑8 | A report by the Deeptrace institute warns of the number of sexual deepfakes. Out of an analysis of 14,678 online deepfake videos, 96% are sexual and pornographic in nature. Deeptrace, (September 2019). The state of deepfakes: landscape, threats, and impact. |
↑9 | A bot is a software agent that operates automatically on the Internet and performs repetitive tasks. |
↑10 | Reuters, (2020). Fact check: “Drunk” Nancy Pelosi video is manipulated, Reuters. https://www.reuters.com/article/uk-factcheck-nancypelosi-manipulated-idUSKCN24Z2BI |
↑11 | French historian Christine Bard, a specialist in the history of women and gender, describes masculinism as “one of the contemporary manifestations of anti-feminism in Western countries. Masculinism defends the idea that women now dominate men, who are called upon to revolt, organise resistance, restore the lost virile identity and claim rights, particularly as divorced husbands and fathers”. Masculinists defend male domination by establishing the superiority of men over women. The perpetuation of this domination aims to protect society from any form of change in favour of the rights of women and LGBTQI+ people. See C. Bard, (2019). Masculinism in Europe, EHNE. |
↑12 | Wagner, T. (2022). Toxic masculinity on social media, Bonpote. https://bonpote.com/en/toxic-masculinity-on-social-media/ |
↑13 | Haut Conseil à l’égalité entre les femmes et les hommes, (23 janvier 2023). Rapport annuel 2023 sur l’état des lieux du sexisme en France. |
↑14 | Dafyyd, M. (2020). Women in politics face ‘daily’ abuse on social media, BBC News. https://www.bbc.com/news/uk-wales-politics-52785157 |
↑15 | A troll is an Internet user who deliberately engages in behaviour designed to provoke, irritate, criticise or upset others. They post offensive comments on social networks in order to provoke strong emotional reactions. Trolls thrive on targeting specific individuals or groups using a variety of tactics such as personal attacks, spreading misinformation or using sarcasm and irony. |
↑16 | Mackintosh, E. & Gupta, S. (2020). Troll armies, ‘deepfake’ porn videos and violent threats. How Twitter became so toxic for India’s women politicians, CNN. https://edition.cnn.com/2020/01/22/india/india-women-politicians-trolling-amnesty-asequals-intl/index.html |
↑17 | Chaturvedi, S. (2016). I am a troll: Inside the secret world of the BJP’s digital army, Juggernaut Publication. |
↑18 | A study entitled “Prostitution will save Ukraine from the default: Investigating Russian gender disinformation in social networks” deals with this issue and gives several examples of phrases and comments posted online by pro-Russian users. One of them wrote about the rape of a woman: “If she hadn’t resisted the rape, she wouldn’t have been killed”. Detector Media, 2022. |
↑19 | Jankowicz, N. (2017). How disinformation became a new threat to women, Coda. https://www.codastory.com/disinformation/how-disinformation-became-a-new-threat-to-women/ |
↑20, ↑21 | Thakur, D. Handerson, D. (ed.), (2022). An unrepresentative democracy: how disinformation and online abuse hinder women of color political candidates in the United States, CDT Research. |
↑22 | Rapport Amnesty International (2018). Toxic Twitter is failing women by letting online violence thrive. |
↑23 | Shima Rwigara, D. (2017). I wanted to be Rwanda’s first female president. Then fake nude photos appeared online, The Washington post. |
↑24 | According to an updated definition from the Center for Strategic and International Studies, a cyber operation is “the use of hacking, viruses, or other methods to wage information warfare, cause physical damage, disrupt political processes, punish economic competitors, or commit other malicious acts in cyberspace”. https://kolesnyk.fr/posts/le-csis-propose-une-nouvelle-definition-des-cyber-operations/ |
↑25 | Marineau, S. (2020). Fact check US: What is the impact of Russian interference in the US presidential election?, The Conversation. https://theconversation.com/fact-check-us-what-is-the-impact-of-russian-interference-in-the-us-presidential-election-146711 |
↑26 | Coleman, V. (2013). Social media as a primary source: a coming of age, Educause. https://er.educause.edu/articles/2013/12/social-media-as-a-primary-source-a-coming-of-age |