TY  - GEN
AB  - This text dataset includes 3,481 social media user comments posted in response to political news posts and videos on Twitter, YouTube, and Reddit in August, 2021. The dataset also includes MTurk workers’ annotations of these comments as hateful, offensive, and/or toxic; and codes assigned by researchers describing various rhetorical dimensions of these comments. 
DA  - 2023-04-20
ED  - Wu, Siqi
ED  - Schöpke-Gonzalez, Angela
ED  - Kumar, Sagar
ED  - Hemphill, Libby
ED  - Resnick, Paul
ED  - Data Collector
ED  - Researcher
ED  - Researcher
ED  - Supervisor
ED  - Principal Investigator
ID  - 19
KW  - news media
KW  - politics
KW  - YouTube
KW  - Reddit
KW  - Twitter
L1  - https://socialmediaarchive.org/record/19/files/dataset.csv
L1  - https://socialmediaarchive.org/record/19/files/codebook.csv
L1  - https://socialmediaarchive.org/record/19/files/collectionmethods.pdf
L2  - https://socialmediaarchive.org/record/19/files/dataset.csv
L2  - https://socialmediaarchive.org/record/19/files/codebook.csv
L2  - https://socialmediaarchive.org/record/19/files/collectionmethods.pdf
L4  - https://socialmediaarchive.org/record/19/files/dataset.csv
L4  - https://socialmediaarchive.org/record/19/files/codebook.csv
L4  - https://socialmediaarchive.org/record/19/files/collectionmethods.pdf
LK  - https://socialmediaarchive.org/record/19/files/dataset.csv
LK  - https://socialmediaarchive.org/record/19/files/codebook.csv
LK  - https://socialmediaarchive.org/record/19/files/collectionmethods.pdf
N1  - collectionmethods.pdf describes how we collected and assembled this dataset. <br>
dataset.csv contains all 3,481 comments, MTurk worker annotations, and researcher codes where applicable. <br>
codebook.csv contains detailed descriptions of each code and all possible values for each code.
N2  - This text dataset includes 3,481 social media user comments posted in response to political news posts and videos on Twitter, YouTube, and Reddit in August, 2021. The dataset also includes MTurk workers’ annotations of these comments as hateful, offensive, and/or toxic; and codes assigned by researchers describing various rhetorical dimensions of these comments. 
PY  - 2023-04-20
T1  - HOT Speech: Comments from Political News Posts and Videos that were Annotated for Hateful, Offensive, and Toxic Content
TI  - HOT Speech: Comments from Political News Posts and Videos that were Annotated for Hateful, Offensive, and Toxic Content
UR  - https://socialmediaarchive.org/record/19/files/dataset.csv
UR  - https://socialmediaarchive.org/record/19/files/codebook.csv
UR  - https://socialmediaarchive.org/record/19/files/collectionmethods.pdf
Y1  - 2023-04-20
ER  -