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Record W7083892935

10 Misogynistic+ Hate+ Speech+against+ Female+ Politicians+on+ New+ Media+in+ Pakistan

2025· other· en· W7083892935 on OpenAlexaboutno aff

Bibliographic record

VenueInternet Archive (Internet Archive) · 2025
Typeother
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsDigital mediaPolitical communicationRepresentation (politics)The InternetDigital RevolutionSurvey researchSpace (punctuation)
DOInot available

Abstract

fetched live from OpenAlex

Abstract Pakistan has been observed considerable rise in women’s political representation similar to other nations, but along with this growing rate of misogynistic attacks have also been noticed. Under the umbrella of anonymity, social values of society constantly dishonoured, prominent political names Maryam Nawaz, Uzma Bukhari, Shiren Mazari, Hina Rabani Khar, Sherry Rehman, and others have faced hate speech, digital abuse that is irrelevant to their political performances. Such moral policing reflects unease of society to see women in leadership roles and holding authority in their hands. New media platforms have important and central space for political discourse in Pakistan’s changing digital landscape. While on one side digital advancement paving the way for global political communication, on other hand technology has led to increase digital abuse and hate speech particularly targeting women in online space. Digital spaces like YouTube, Twitter/ X, Instagram, tiktok, Facebook, and many other platforms become known as powerful tools of technology, at present all traditional media shifted to digital platforms according to the requirement of time. This study “Misogynistic hate speech against female politicians on new media in Pakistan” examines how online misogyny affects its interconnected aspects including perceived political authenticity, political affiliation, political participation, and public shaming. Four hypotheses were created to check the relationship of misogynistic behaviour with interconnected features. The study is descriptive nature study, quantitative research design used for data collection and survey questionnaire disseminated among 220 female political representatives who served at district, divisional, provincial and national level through convenient sampling technique. This research study aims to analyse and understand the perception of female politicians because these are the one who directly encountered misogyny on new media platforms. This study emphasizes how misogyny structured both public narratives and victim’s attitude through digital spaces. References Anees, M. (2022). Cybercrime law in Pakistan: An ultimate guide . Graana. https://www.graana.com/blog/cybercrime-law-in-pakistan/ Anees, S. M. (2023, May 24). Where are the women in Pakistan's politics? The Diplomat . https://thediplomat.com/2023/05/where-are-the-women-in-pakistans-politics/ Anderson, M. (2016, August 15). The hashtag #BlackLivesMatter emerges: Social activism on Twitter. Pew Research Center . https://www.pewresearch.org/internet/2016/08/15/the-hashtag-blacklivesmatter-emerges-social-activism-on-twitter/ Azeem, M. (2020). Islam, Pakistan and women leadership: A case study of Benazir Bhutto. Journal of Politics and International Studies, 6 (2), 1-20. http://pu.edu.pk/images/journal/politicsAndInternational/PDF/3_v6_2_2020.pdf Barroso, R. L., & Barroso, B. V. L. (2023). Democracy, social media, and freedom of expression: Hate, lies, and the search for the possible truth. Chicago Journal of International Law . https://cjil.uchicago.edu/print-archive/democracy-social-media-and-freedom-expression-hate-lies-and-search-possible-truth Bulut, E., & Yoruk, E. (2017). Digital populism: Trolls and political polarization of Twitter in Turkey. International Journal of Communication, 11 , 4093-4117. https://ijoc.org/index.php/ijoc/article/view/6702/2158 Daniele, G. (2024, January 18). Why are female politicians more often targeted with violence? New findings confirm depressing suspicions. The Conversation . https://theconversation.com/why-are-female-politicians-more-often-targeted-with-violence-new-findings-confirm-depressing-suspicions-238483 Dawn. (2022, January 10). Cybercrime complaints topped 100,000 in 2021: FIA chief. https://www.dawn.com/news/1667248 Dawn. (2024, February 15). Cyber complaints. https://www.dawn.com/news/1755206 European Conference of Presidents of Parliament. (2019). Women in politics and in the public discourse . Council of Europe. https://edoc.coe.int/en/violence-against-women/7989-women-in-politics-and-in-the-public-discourse.html Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage. George, D., & Mallery, P. (2016). IBM SPSS Statistics 23 step by step: A simple guide and reference (14th ed.). Routledge. Gregory, S. (2019). Cameras everywhere revisited: How digital technologies and social media aid and inhibit human rights documentation and advocacy. Journal of Human Rights Practice, 11 (2), 412-428. https://doi.org/10.1093/jhuman/huz022 Hunt, E., Evershed, N., & Liu, R. (2016, June 27). From Julia Gillard to Hillary Clinton: Online abuse of politicians around the world. The Guardian . https://www.theguardian.com/technology/datablog/ng-interactive/2016/jun/27/from-julia-gillard-to-hillary-clinton-online-abuse-of-politicians-around-the-world Ibrohim, O. M., & Budi, I. (2023). Hate speech and abusive language detection in Indonesian social media: Progress and challenges. Heliyon, 9 (6), e18647. https://doi.org/10.1016/j.heliyon.2023.e18647 Kaneez, F. (2023). Exploring the influence of sociocultural norms and gender biases on women's empowerment in Pakistan . Harvard University. Kendall, E. (2023). Misogyny. In Encyclopedia Britannica . https://www.britannica.com/topic/misogyny Khalid, A. M. (2021). Assessment of gender-role attitudes among people of Pakistan. Open Journal of Social Sciences, 9 , 338-350. https://www.scirp.org/journal/paperinformation?paperid=114000 Khan, R. K. (n.d.). Cyber laws in Pakistan . Pakistan Journalists Association. Kline, P. (2013). Handbook of psychological testing (2nd ed.). Routledge. Kwak, H., Lee, C., Park, H., & Moon, S. (2010). What is Twitter, a social network or a news media? Proceedings of the 19th International Conference on World Wide Web , 591-600. https://snap.stanford.edu/class/cs224w-readings/kwak10twitter.pdf Lee, J. K., & Park, H.-G. (2011). Measures of women's status and gender inequality in Asia: Issues and challenges. Asian Journal of Women's Studies, 17 (1), 7-31. https://doi.org/10.1080/12259276.2011.11666106 Masroor, F., Khan, N. Q., Aib, I., & Ali, Z. (2019). Polarization and ideological weaving in Twitter discourse of politicians. Social Media + Society, 5 (4). https://doi.org/10.1177/2056305119891220 National Commission on the Status of Women. (2023). Digitalisation & women in Pakistan . United Nations Development Programme. https://www.undp.org/sites/g/files/zskgke326/files/2023-07/digitalisation_women_in_pakistan_-_ncsw_report_2023.pdf Prasad, R. (2019, November 28). How Trump talks about women - and does it matter? BBC News . https://www.bbc.com/news/world-us-canada-50563106 Sakki, I. (2023). Emotion, language and communication, race, ethnicity and culture: Contested meanings and uses of hate speech. The Psychologist, 36 , 32-35. https://www.bps.org.uk/psychologist/contested-meanings-and-uses-hate-speech Shehab, R. (1989). History of Pakistan . Sang-e-Meel Publications. Spark, S. L., & Tuysuz, G. (2014, November 25). Rights groups slam Turkey's Erdogan over remarks on women. CNN . https://edition.cnn.com/2014/11/25/world/europe/turkey-erdogan-women/index.html Tribune. (2023, September 10). Cyber crime in Punjab increased manifold in past quinquennial. https://tribune.com.pk/story/2445839/poor-policing-cyber-crime-in-punjab-increased-manifold-in-past-quinquennial United Nations. (2021, March 16). Female government leaders recount personal experiences of threats, attacks, structural obstacles [Press release]. https://press.un.org/en/2021/wom2206.doc.htm United Nations Population Fund. (2022). Women journalists threatened with sexual violence, hate speech . https://www.unfpa.org/news/women-journalists-threatened-sexual-violence-hate-speech United Nations Population Fund. (2023). Five reasons why: Women and girls must have equal rights in our digital world . https://www.unfpa.org/news/five-reasons-why-women-and-girls-must-have-equal-rights-our-digital-world World Economic Forum. (2024). Global gender gap report 2024 . https://www.weforum.org/publications/global-gender-gap-report-2024/ Zarouni, A. E. (2022). Detection of hateful comments on social media [Master's thesis, Rochester Institute of Technology]. RIT Scholar Works. https://repository.rit.edu/theses/11471/

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0200.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.317
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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