| incvlcomments {tidycomm} | R Documentation |
Incivil Comments Data
Description
A dataset of a preregistered factorial survey experiment with a nationally representative sample of 964 German online users. Participants were presented with manipulated user comments that included statements associated with incivil discourse (such as profanity and attacks on arguments) and intolerant discourse (such as offensive stereotyping and violent threats). Participants rated the comments, e.g. offensiveness, harm to society, and their intention to delete the comment containing the statement.
Usage
incvlcomments
Format
A data frame of 3856 observations nested in 964 participants and 22 variables:
- participant_num
Numeric id of the participant
- age
Age of the participant
- male
Gender of the participant, either 'male' or 'not male'
- high_education
Level of formal education of the participant, either 'high formal education' or 'low formal education'
- comment_num
Numeric id of the comment that the participant was exposed to
- issue
The subject of the comment that the participant was exposed to, either 'Gender', 'Abortion', 'Climate', or 'Migration'
- profanity
Whether the comment contained profanities as an indicator of incivility
- attacks_argument
Whether the comment contained attacks towards arguments as an indicator of incivility
- offensive_stereotyping
Whether the comment contained offensive stereotypes as an indicator of intolerant discourse
- violent_threats
Whether the comment contained violent threats as an indicator of intolerant discourse
- offensiveness
Rate statement whether the comment is being perceived as offensive & hostile (Scale from 1 to 7)
- adequacy
Rate statement whether the comment is being perceived as necessary & accurate (Scale from 1 to 7)
- harm_to_society
Rate statement whether the comment is being perceived as harmful to society (Scale from 1 to 7)
- deletion_intention
Whether the participant wants to delete the comment
- similarity_poster
How similar the participant feels to the person who created the post (Scale from 1 to 7)
- similarity_group
How similar the participant feels to the group of people criticized in the post (Scale from 1 to 7)
- attitude_gender
Rate agreement with statements on gender policies (Scale from 1 to 7)
- attitude_abortion
Rate agreement with statements on abortion (Scale from 1 to 7)
- attitude_migration
Rate agreement with statements on migration (Scale from 1 to 7)
- attitude_climate
Rate agreement with statements on climate change (Scale from 1 to 7)
- left_right_placement
Placement on a political spectrum from left to right (Scale from 1 to 9)
- freedom_of_speech
Rate agreement with statements about the freedom of speech and expression (Scale from 1 to 7)
Details
The dataset was created from the OSF project: Differential perceptions of and reactions to incivil and intolerant user comments, corresponding to the paper: Kümpel, A. S., Unkel, J (2023). Differential perceptions of and reactions to incivil and intolerant user comments, Journal of Computer-Mediated Communication, Volume 28, Issue 4, https://doi.org/10.1093/jcmc/zmad018