Data collected from Twitter social media platform (6 May 2018 - 16 May 2018) to explore the potential role of social media data in responding to new and emerging forms of food fraud reported on social media from posts originating in the UK. The dataset contains Tweet IDs and keywords used to search for Tweets using a programatic access via the public Twitter API. Keywords used in this search were generated using a machine learning tool and consisted of a combinations of keywords describing terms related to food and outrage.
|Date made available||16 Nov 2018|
|Publisher||UK Data Service|
|Temporal coverage||14 Feb 2017 - 31 Jul 2018|
|Date of data production||14 Feb 2017 - 31 Jul 2018|
Funder and Grant Reference number
- Economic and Social Research Council (ESRC)
Edwards, P. (Creator), Markovic, M. (Creator), Petrunova, N. N. (Creator), Lin, C. (Creator), Corsar, D. (Creator) (16 Nov 2018). Tweets used to explore the potential role of social media data in responding to new and emewrging forms of food fraud 2018. UK Data Service. 10.5255/UKDA-SN-853377