Predicting the success of news: Using an ML-based language model in predicting the performance of news articles before publishing

Atte Jääskeläinen, Elli Taimela, Tomas Heiskanen. Predicting the success of news: Using an ML-based language model in predicting the performance of news articles before publishing. In Markku Turunen, editor, Proceedings of the 23rd Academic Mindtrek Conference, Mindtrek 2020, Tampere, Finland, January 29-30, 2020. pages 27-36, ACM, 2020. [doi]

@inproceedings{JaaskelainenTH20,
  title = {Predicting the success of news: Using an ML-based language model in predicting the performance of news articles before publishing},
  author = {Atte Jääskeläinen and Elli Taimela and Tomas Heiskanen},
  year = {2020},
  doi = {10.1145/3377290.3377299},
  url = {https://doi.org/10.1145/3377290.3377299},
  researchr = {https://researchr.org/publication/JaaskelainenTH20},
  cites = {0},
  citedby = {0},
  pages = {27-36},
  booktitle = {Proceedings of the 23rd Academic Mindtrek Conference, Mindtrek 2020, Tampere, Finland, January 29-30, 2020},
  editor = {Markku Turunen},
  publisher = {ACM},
  isbn = {978-1-4503-7774-4},
}