{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Science Tech Brief By HackerNoon","title":"Mitigating Framing Bias with Polarity Minimization Loss: Experimental Details","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/d61a3c1b\"></iframe>","width":"100%","height":180,"duration":195,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/mitigating-framing-bias-with-polarity-minimization-loss-experimental-details.\n             In this paper, researchers propose a new loss function to reduce framing bias in media, crucial for combating political polarization. \n            Check more stories related to science at: https://hackernoon.com/c/science.\n            You can also check exclusive content about #framing-bias, #political-polarization, #media-reporting, #polarity-minimization, #loss-function, #bidirectional-mapping, #informational-framing-bias, #political-bias,  and more.\n            \n            \n            This story was written by: @mediabias. Learn more about this writer by checking @mediabias's about page,\n            and for more stories, please visit hackernoon.com.\n            \n                \n                \n                In this paper, researchers address framing bias in media, a key driver of political polarization. They propose a new loss function to minimize polarity differences in reporting, reducing bias effectively.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/S66fL9skYMhlajDauLWqBH_bXds_u8JsPbvAZlh45OA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjczLzE2ODM1/ODI0MjQtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}