000000019 001__ 19
000000019 005__ 20230915111859.0
000000019 02470 $$ahttps://doi.org/10.3886/45fc-9c8f$$2DOI
000000019 037__ $$aADMIN
000000019 245__ $$aHOT Speech: Comments from Political News Posts and Videos that were Annotated for Hateful, Offensive, and Toxic Content
000000019 251__ $$av1
000000019 269__ $$a2023-04-20
000000019 336__ $$aDataset
000000019 500__ $$acollectionmethods.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.
000000019 510__ $$aWu, Siqi, Schöpke-Gonzalez, Angela, Kumar, Sagar, Hemphill, Libby, and Resnick, Paul. HOT Speech: Comments from Political News Posts and Videos that were Annotated for Hateful, Offensive, and Toxic Content. Inter-university Consortium for Political and Social Research [distributor], 2023-04-20. https://doi.org/10.3886/45fc-9c8f
000000019 520__ $$aThis 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. 
000000019 536__ $$oUniversity of Michigan School of Information
000000019 540__ $$aThis dataset has two levels of access: Public and Login Required.
<ul>
<li>Public files can be downloaded directly from the dataset record. Typically, documentation files such as READMEs and codebooks are made public.</li>

<li>Login Required files can be downloaded directly from the dataset record, once you have created and logged in to your SOMAR account. By downloading data files you agree to <a href="https://socialmediaarchive.org/pages/?page=Terms%20of%20Use&ln=en">ICPSR’s Terms of Use</a>.</li>
000000019 650__ $$anews media
000000019 650__ $$apolitics
000000019 650__ $$aYouTube
000000019 650__ $$aReddit
000000019 650__ $$aTwitter
000000019 655__ $$atext
000000019 720__ $$aWu, Siqi$$eData Collector$$uUniversity of Michigan School of Information$$10000-0002-1384-6908$$2ORCID$$7Personal
000000019 720__ $$aSchöpke-Gonzalez, Angela$$eResearcher$$uUniversity of Michigan School of Information$$10000-0001-7912-1371$$2ORCID$$7Personal
000000019 720__ $$aKumar, Sagar$$eResearcher$$uNortheastern University$$10000-0003-0157-4615$$2ORCID$$7Personal
000000019 720__ $$aHemphill, Libby$$eSupervisor$$uUniversity of Michigan School of Information$$10000-0002-3793-7281$$2ORCID$$7Personal
000000019 720__ $$aResnick, Paul$$ePrincipal Investigator$$uUniversity of Michigan School of Information$$10000-0001-8368-0600$$2ORCID$$7Personal
000000019 8564_ $$yDataset of social media comments and corresponding codebook.$$9da4a3ca3-ddf8-4f0d-bbf3-17e4e7d5f939$$s1591949$$uhttps://socialmediaarchive.org/record/19/files/dataset.csv
000000019 8564_ $$yDataset of social media comments and corresponding codebook.$$9a0fad81c-51dc-4741-87dd-456da4a2b958$$s21665$$uhttps://socialmediaarchive.org/record/19/files/codebook.csv
000000019 8564_ $$yDescription of data collection methods.$$9697cbaa0-f8ec-4b14-b88c-2843bf14cfe1$$s729152$$uhttps://socialmediaarchive.org/record/19/files/collectionmethods.pdf
000000019 906__ $$a2021-08-01$$b2021-08-31
000000019 908__ $$aTwitter
000000019 908__ $$aReddit
000000019 908__ $$aYouTube
000000019 910__ $$aapplication programming interface (API)
000000019 910__ $$aweb scraping
000000019 980__ $$aReddit
000000019 980__ $$aYouTube
000000019 980__ $$aDatasets
000000019 980__ $$aX
000000019 981__ $$aPublished