00:00:00
[Music] everybody knows that misinformation is a big problem in the world right now but
00:00:09
when we talk about misinformation we almost always mean false information our work leads us to believe that in fact
00:00:16
bias can be a much bigger problem so that's what this project is really intended to uncover developed by the CSS
00:00:25
Lab at Penn a joint venture between Warden pen engineering and the annenburg school for community ation the media
00:00:31
bias detector tracks and classifies the top stories published by 10 prominent Publishers spending the political
00:00:36
Spectrum in close to real time articles are fed into GPT 4 the large language model developed by open AI that
00:00:42
underlies Chad GPT and classified by topics and events news type tone and political lean every week research
00:00:50
assistants then monitor a random sample of the gpt's labels to ensure the model's accuracy remains high and
00:00:55
identify any necessary adjustments there are two highlevel ways in which uh we think bias can manifest
00:01:02
itself in journalism one is selection which stories journalists choose to write about which facts they choose to
00:01:10
highlight which people they choose to quote and also framing how they spin the evidence that they present to you you
00:01:16
can make your tone positive you can make your tone negative and both these forms
00:01:20
of bias can have lot of impact on the way the story reads and on the takeaway that the reader gets from the story even
00:01:28
to the point where one can get a highly misleading or even false impression of what is going on even though every
00:01:35
sentence in the story might be correct this year's US presidential election presents a real-time high stakes
00:01:41
environment to observe and analyze the choices media Publications are making every day in their coverage the media
00:01:48
bias detector is a free resource designed to help you as a consumer better understand those choices and the
00:01:53
biases that exist behind them [Music]