Hi, Stance detection has been well studied in the context of debate sites of various kinds (both monologic and dialogic) and for student essays. Here's a few of the resources that come to my mind, that have ground truth labels. Let me know if you want more. 1. The TU Darmstadt argumentation datasets -- look for the Argument Annotated Essays (there are two versions) https://www.ukp.tu-darmstadt.de/data/argumentation-mining/ 2. The internet argument corpus contains huge dumps of debate data https://nlds.soe.ucsc.edu/iac2 (there are again two versions) 3. The group at UT Dallas has done some work on stance classification and reasoning. Their dataset can be found here: http://www.hlt.utdallas.edu/~saidul/stance/stance.html Regards, Kiran On Wed, Jul 12, 2017 at 6:05 AM, Ophélie Fraisier <ophelie.fraisier@irit.fr> wrote:
Hello,
I’m currently working on stance detection on social media, and I’m looking for datasets to evaluate my model. I have several datasets of tweets concerning political events, but I would like to also consider other platforms. Ideally, I would need datasets with textual content, users profiles, their ground truth stances and a non negligible amount of interactions (of any form) between the users, but I would take any recommandation :)
Thanks for your suggestions.
——— Ophélie Fraisier PhD Student in opinion mining on social media CEA Tech Toulouse - IRIT, IRIS team
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-- -- Kiran