The Media Coverage of the 2020 US Presidential Election Candidates through the Lens of Google's Top Stories

Dataset for paper \"The Media Coverage of the 2020 US Presidential Election Candidates through the Lens of Google's Top Stories\" to appear in proceedings of ICWSM 2020. For the entire duration of 2019, we have collected the news headlines that Google Top Stories has displayed for 30 candidates of both UP political parties. Our dataset contains 79,903 news story URLs published by 2,168 unique news sources. From December 2018 - June 2019, the data collection happened four times a day: at 6am, 12pm, 6pm and 12am. Since June 24th, 2019, the collection has happened 12 times a day, at even hours (2am, 4am, etc.). For each of the 30 candidates, there is a JSON file that contains a list of their news stories and corresponding relevant metadata. Specifically, each news story collected includes the story headline, URL, source, domain, position on the Top Stories panel, time of collection, time since article publication during time of collection, and query. (2019-01-15) See README.md for dataset files organization.