Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation (bibtex)

by Shivaram, Karthik, Liu, Ping, Shapiro, Matthew, Bilgic, Mustafa and Culotta, Aron

Reference:

Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation (Shivaram, Karthik, Liu, Ping, Shapiro, Matthew, Bilgic, Mustafa and Culotta, Aron), In Proceedings of the 16th ACM Conference on Recommender Systems, Association for Computing Machinery, 2022.

Bibtex Entry:

@inproceedings{shivaram-recsys22,
author = {Shivaram, Karthik and Liu, Ping and Shapiro, Matthew and Bilgic, Mustafa and Culotta, Aron},
title = {Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation},
year = {2022},
isbn = {9781450392785},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3523227.3546782},
doi = {10.1145/3523227.3546782},
booktitle = {Proceedings of the 16th ACM Conference on Recommender Systems},
pages = {220--228},
numpages = {9},
keywords = {Topic Homogenization, News Recommendation Systems, Filter Bubbles},
location = {Seattle, WA, USA},
series = {RecSys '22}
}