Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope Speech

Pofcher, Jonathan, Homan, Christopher M., Sell, Randall, KhudaBukhsh, Ashiqur R.

arXiv.org Artificial Intelligence 

From crowdsourced storymapping projects sharing stories of love, loss, and a sense of belonging [1] to safe, anonymous spaces to seek resources [2] and dating platforms [3] - the internet and modern technologies play a positive role in health and well-being of the LGBTQ+ community in various ways. However, cyberbullying [4], exposure to dehumanization through news media [5], and more recently, worrisome homophobic biases in large language models [6] - are some of the modern technology perils the community grapples with. How do mainstream US cable news outlets cover the LGBTQ+ community and how do users interact with such news content? Via a substantial corpus of more than 130 million YouTube comments on more than 300K YouTube news videos uploaded on three major US cable news outlets, this paper investigates how LGBTQ+ discussions are situated in mainstream US political discourse. While prior literature has analyzed LGBTQ+ discourse in print media through the lens of a dehumanization framework [5], such analyses consulted a single source of news (The New York Times) and did not consider reader responses to LGBTQ+ news. In this work, we consider three major US cable news networks representing diverse political views (Fox News, CNN, and MSNBC) with a key goal to understand how users interact and engage with LGBTQ+ news content. In doing so, we not only focus on identifying negative discussions about the LGBTQ+ community, one of our key contributions is operationalizing the detection of positive, hope speech championing the disadvantaged minority in the broader spirit of counter-speech literature [7, 8, 9, 10, 11].

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