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Other Sheffield events

Who Run The World? Pop, Porn and Post Truth

Fully accessible
Past event - 2018
15 May Doors Open: 6pm
Start: 6.30pm
End: 9pm
The Old Queen's Head, 40 Pond Hill,
Sheffield S1 2BG
Sold Out!
Off the back of a particularly catchy title we’ll be looking at: military motifs in Beyonce’s music videos, female experiences of pornography and how we can find truth in the fake news era. These second night presentations aim to challenge your perceptions, stimulate your conversations and encourage you to rethink some familiar notions of ‘Our Society’. This venue serves a full food menu, and is fully accessible.

Me & Beyoncé: the language of YouTube users

Dr Iona Hine (Post-Doc Research Associate, School of English)
In 2017, linguists and digital developers worked together to discover how users respond to YouTube videos. Our task was to design tools for a parent project* asking questions about social media and the military. This talk explores challenges involved in the research and highlights some initial findings. How do fans react to military motifs in Beyoncé's Run the World? (*Militarisation 2.0 funded by Swedish Research Council).

Talking to women about porn(ography)

Ruth Beresford (PhD Student)
What do women think about pornography? How should we talk about it? I will discuss the Living with Porn(ography) Project, a project in which I worked with a group of 8 women to research women's experiences of pornography. Pornography is much talked about in our society, and is often a polarised debate: the positive potential or the harmful impact. However, there isn't always an opportunity for people to say for themselves how they feel about it. Here I will share what we discussed; what did this group of women think about porn?

Artificial intelligence against misinformation?

Dr Andreas Vlachos (Department of Computer Science)
James Thorne (PhD Student)
Today we are bombarded with information from a variety of sources, some of which are recent such as Facebook, some of them well-established such as newspapers. However some of it is false, and the ease of spreading it has given rise to terms such as fake news. In this talk we explore how Artificial Intelligence (AI) can help us fight misinformation. First we examine how human fact-checkers work and discuss the requirements from AI. Then, we present methods for fact-checking statements such as “UK unemployment is 4%”. Finally, we will demonstrate live our recent work: developing a Wikipedia-bas
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