Methodology to Compare Twitter Reaction Trends between Disinformation Communities, to COVID related Campaign Events at Different Geospatial Granularities.
Debraj De|Gautam S. Thakur|Drahomira Herrmannova|Carter Christopher
| Anthology ID: | DBLP:conf/www/DeTHC22 |
|---|---|
| Volume: | Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022 |
| Year: | 2022 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 458-463 |
| URL: | https://doi.org/10.1145/3487553.3524626 |
| DOI: | https://doi.org/10.1145/3487553.3524626 |
| DBLP: | conf/www/DeTHC22 |
| BibTeX: |
@inproceedings{de-2022-methodology,
author = {Debraj De and
Gautam S. Thakur and
Drahomira Herrmannova and
Carter Christopher},
editor = {Fr\'{e}d\'{e}rique Laforest and
Rapha\"{e}l Troncy and
Elena Simperl and
Deepak Agarwal and
Aristides Gionis and
Ivan Herman and
Lionel M\'{e}dini},
title = {{Methodology to Compare Twitter Reaction Trends between Disinformation Communities, to COVID related Campaign Events at Different Geospatial Granularities}},
booktitle = {{Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022}},
pages = {458--463},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3487553.3524626},
doi = {https://doi.org/10.1145/3487553.3524626}
}