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Home»Disinformation»Targeted Disinformation Campaigns Against Women and Minorities in Bangladesh Revealed by Study
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Targeted Disinformation Campaigns Against Women and Minorities in Bangladesh Revealed by Study

Press RoomBy Press RoomMay 20, 2025
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Bangladesh’s Digital Battlefield: How Gendered Disinformation Threatens Democracy

The upcoming January 2024 general elections in Bangladesh have transformed Facebook into a breeding ground for gendered disinformation campaigns, disproportionately targeting women and marginalized communities. A recent study by the Tech Global Institute has exposed how coordinated networks exploit the platform to spread abusive content, creating a hostile online environment that spills over into real-world consequences. This research underscores the inadequacy of traditional disinformation frameworks, primarily developed in the Global North, when applied to the complex socio-political landscape of Bangladesh.

The study analyzed nearly 25,000 Facebook posts, revealing a disturbing trend of gendered attacks, predominantly directed at female political figures, particularly those from opposition parties. These attacks range from body-shaming and homophobic slurs to fabricated allegations of sexual misconduct and explicit threats. The research found that a staggering 70% of the 1,400 posts flagged as gendered attacks contained sexual insinuations, while others employed discriminatory remarks based on religion, ethnicity, or sexual orientation. This targeted harassment not only aims to discredit individuals but also serves to deter women and gender-diverse individuals from participating in the political sphere.

Existing methodologies for identifying online abuse, often relying on English-language lexicons and Western legal frameworks, prove inadequate in capturing the nuanced nature of abuse in Bangladesh’s digital ecosystem. The research highlights how benign Bengali terms are weaponized to feminize and stigmatize political actors, while public figures are often compared to pornographic icons as a means of character assassination. The prevalent use of "Banglish," a mixture of Bengali and English, further complicates automated detection efforts. Consequently, the research team adopted a “human-in-the-loop” approach, developing a continuously evolving corpus of harmful terms validated by expert review.

The study uncovered a complex web of opaque allegiances and deceptive practices, with pages masquerading as legitimate news outlets or community organizations serving as hubs for coordinated disinformation campaigns. Identical content, often featuring manipulated images or deepfake videos, was disseminated across multiple pages and groups within seconds, amplifying harmful narratives and reinforcing damaging gender stereotypes. The research suggests a strategic use of gendered abuse to silence dissent and consolidate power, with 93% of the targeted attacks directed at individuals unaffiliated with the ruling Awami League.

While men were not entirely exempt from online abuse, with some facing slurs questioning their masculinity, women bore the brunt of the attacks. The top ten most targeted individuals were predominantly female opposition politicians, subjected to relentless personal attacks and fabricated allegations. Gender-diverse communities were also targeted, highlighting the persistent stigma they face despite legal recognition as a third gender in 2013. Even prominent figures like Prime Minister Sheikh Hasina were not spared, albeit receiving supportive coverage in content disparaging her rivals.

The chilling effect of these attacks poses a significant threat to democratic participation, potentially deterring future generations of women and gender-diverse individuals from engaging in political discourse. Although Bangladesh has a legal framework criminalizing online abuse, enforcement remains inconsistent, with complaints from opposition figures often dismissed and victims facing the burden of disproving defamatory claims. While Meta’s policies against hate speech and harassment offer theoretical protection, the study criticizes the platform’s uneven enforcement and inability to effectively detect contextually coded abuse in non-English languages. This highlights the urgent need for more robust and culturally sensitive content moderation strategies to address the complex challenge of online abuse in Bangladesh.

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