Published May 11, 2022 | Version 1.0.0
Dataset Open

Facebook pages for parties in 2019 EU parliamentary elections

  • 1. University of Turin
  • 2. CentAI
  • 3. ISI Foundation

Description

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.

"2019 EU elections parties.csv" contains aggregate data:

  • State: the country of the party
  • Party: acronym of the party
  • Name: extended name of the party
  • Percentage: share of votes in the election
  • Facebook page_name: name of the Facebook page that ran the ads
  • Facebook page_id: id of the Facebook page that ran the ads
  • populist: binary label indicating whether the party is populist according to PopuList
  • farright: binary label indicating whether the party is far right according to PopuList
  • farleft: binary label indicating whether the party is far left according to PopuList
  • eurosceptic: binary label indicating whether the party is eurosceptic according to PopuList
  • found on populist: binary label indicating whether the party is on any list on PopuList
  • seat: whether the party got a seat in any previous national election (selection criterion from PopuList)

"FB ads impressions cost populist demographic votes" contains detailed data:

  • ad_id: Facebook ad id
  • page_id: id of the Facebook page who published the ad
  • page_name: name of the Facebook page who published the ad
  • ad_creative_body: text of the ad
  • ad_creative_*: other properties of the ad (caption, links, title)
  • ad_delivery_start_time,ad_delivery_stop_time: time of beginning and end of the ad campaign
  • funding_entity: declared party who financed the ad
  • impressions_min, impressions_max: range of impressions for the ad
  • spend_min, spend_max: range of expenditure for the ad
  • ad_url: URL of the ad
  • state: state of the party
  • impression_mean, spend_mean: average number of impressions and expenditure
  • imp_per_day: number of impressions per day
  • populist, farright, farleft, eurosceptic, popu-list: binary tags from PopuList (refer to the description above)
  • female_*, male_*, unknown_*: fraction of impressions for each demographic bucket (defined as gender_age)
  • party: name of the party
  • percentage: share of votes in the election

Files

2019 EU elections parties.csv

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