Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3
datasets available to search
ShareScore release 0.9.0
Dataset results
3 results for “EU elections”
Facebook pages for parties in 2019 EU parliamentary elections
<p>This dataset contains information about the parties from UK, Italy, Germany, Spain, and Poland that ran ads on Facebook during the 2019 EU parliamentary elections. For each party, we manually associated the corresponding Facebook page that ran the ads. We also report the PopuList tags as per https://popu-list.org.</p> <p>"2019 EU elections parties.csv" contains aggregate data:</p> <ul> <li>State: the country of the party</li> <li>Party: acronym of the party</li> <li>Name: extended name of the party</li> <li>Percentage: share of votes in the election</li> <li>Facebook page_name: name of the Facebook page that ran the ads</li> <li>Facebook page_id: id of the Facebook page that ran the ads</li> <li>populist: binary label indicating whether the party is populist according to PopuList</li> <li>farright: binary label indicating whether the party is far right according to PopuList</li> <li>farleft: binary label indicating whether the party is far left according to PopuList</li> <li>eurosceptic: binary label indicating whether the party is eurosceptic according to PopuList</li> <li>found on populist: binary label indicating whether the party is on any list on PopuList</li> <li>seat: whether the party got a seat in any previous national election (selection criterion from PopuList)</li> </ul> <p>"FB ads impressions cost populist demographic votes" contains detailed data:</p> <ul> <li>ad_id: Facebook ad id</li> <li>page_id: id of the Facebook page who published the ad</li> <li>page_name: name of the Facebook page who published the ad</li> <li>ad_creative_body: text of the ad</li> <li>ad_creative_*: other properties of the ad (caption, links, title)</li> <li>ad_delivery_start_time,ad_delivery_stop_time: time of beginning and end of the ad campaign</li> <li>funding_entity: declared party who financed the ad</li> <li>impressions_min, impressions_max: range of impressions for the ad</li> <li>spend_min, spend_max: range of expenditure for the ad</li> <li>ad_url: URL of the ad</li> <li>state: state of the party</li> <li>impression_mean, spend_mean: average number of impressions and expenditure</li> <li>imp_per_day: number of impressions per day</li> <li>populist, farright, farleft, eurosceptic, popu-list: binary tags from PopuList (refer to the description above)</li> <li>female_*, male_*, unknown_*: fraction of impressions for each demographic bucket (defined as gender_age)</li> <li>party: name of the party</li> <li>percentage: share of votes in the election</li> </ul>
LLMs Languages Least Moderated: Testing Cross-National Moderation in the context of the EU and the US Elections on Chatbots
<p>AI Forensics had <a href="https://aiforensics.org/work/bing-chat-elections">previously exposed</a> that Microsoft Copilot's answers to simple election-related questions contained factual errors 30% of the time. In collaboration with Nieuwsuur, we uncovered how chatbots can recommend and support the dissemination of disinformation as a campaign strategy. Following those investigations as well as a request for information from the European Commission, Microsoft and Google introduced “moderation layers" to their chatbots so that they refuse to answer election-related prompts.</p> <p><strong>This dataset was produced as part<span> of project "LLMs: Languages Least Moderated" at the 2024 Digital Methods Summer School and Data Sprint, which AI Forensics facilitated</span> to allow participants to evaluate and compare the effectiveness of these safeguards in different scenarios.</strong> In particular, we investigated the consistency with which electoral moderation was triggered, depending the language of the prompt and the electoral context.</p>
Annotation of Facebook ads in 2019 EU parliamentary elections
<p>This dataset contains manual annotation for ads from parties from UK, Italy, Germany, Spain, and Poland that ran ads on Facebook during the 2019 EU parliamentary elections and that were defined as "populist" by popu-list.org. For each ad, we qualitatively identified a primary issue, a sub-issue, and a stance with respect to the sub-issue. The annotation was performed through an open coding procedure. More information is reported in our paper "The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections".<br> More information about the same ads is reported in: https://zenodo.org/record/6597765<br> <br> This TSV file contains the following columns:<br> - "state": the country of the ad.<br> - "ad_id": the original id of the ad.<br> - "link": a link to the ad.<br> - "page_name": name of the page running the ad.<br> - "is_local": whether the ad is related to local elections or not (if not, it's related to the 2019 EU Elections).<br> - "issue": a comma-separated list of the main issues of the ad.<br> - "sub-issue": a comma-separated list of sub-issues of the ad.<br> - "stance": a comma-separated list of stances of the ad.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.