UK attitudes to offensive language and gestures data

Data from media research on attitudes to offensive language and gestures in the UK. The research was performed for the UK's media regulator, Ofcom, by Ipsos MORI. This dataset contains data from the research. The full research contains guidance on methodology and how to use the data. The research was published on 30 September 2016. The main report can be found at: https://www.ofcom.org.uk/__data/assets/pdf_file/0022/91624/OfcomOffensiveLanguage.pdf with a quick reference guide at https://www.ofcom.org.uk/__data/assets/pdf_file/0023/91625/OfcomQRG-AOC.pdf The research which created this data discusses the importance of context. Whether or not they were personally offended by specific offensive language or gestures was not usually participants’ starting point. Instead, they were more likely to reflect on the acceptability of language or gestures in a particular context, including whether others would be offended or harmed. Participants considered the following contextual factors particularly important when making judgements about the acceptability of potentially offensive language on TV or radio: 1. The time of broadcast, and the potential and likely audiences 2. The frequency or repetition of potentially offensive language 3. Audience expectations of broadcasters, programmes, genres and medium 4. Audience expectations of live and pre-recorded programmes 5. The role of mitigating actions such as warnings, bleeps or apologies 6. The perceived tone and intent of programmes Further details are in the full report: https://www.ofcom.org.uk/__data/assets/pdf_file/0022/91624/OfcomOffensiveLanguage.pdf

License
Open Government Licence 3.0 (United Kingdom)

Publisher
Peter Wells

Update frequency
One-off

Files

Name Format Description Data Download
Caution text/csv This file contains text on the need for caution in using the data. View Download CSVlint validation result
List of swearwords and offensive gestures text/csv This file contains the list of swearwords and offensive gestures from the research. All fields should be self-explanatory. More detail in the research performed for the UK's media regulator, Ofcom, by Ipsos MORI. View Download CSVlint validation result

Schemas

Support

If you have support queries, suggestions or corrections to the data, please file a new issue in our GitHub repository.

All comments and subsequent fixes will be logged openly such that you can easily see the provenance of each object in this dataset.

Last update: 2017-02-26 at 16:50