Instagram Posts by German Parties
Published: August 20, 2024
Version v1
Description
The dataset contains Instagram posts by candidates from the Bavarian state election campaigns of the CSU, Freie Wähler, AFD, Grüne, SPD, FDP and Linke parties. An attempt was made to find an Instagram profile for all 1134 people standing for election, and this was achieved for 632 of them. The state and parliamentary group accounts of the listed parties were also included. For each profile found, all posts on the profile overview page were collected for the period under investigation. Reels that do not appear there or stories are not included in the data set. In addition to the image and caption, further metadata such as interaction figures, hashtags and time of publication were saved for each post. In addition, text modules contained in the image were extracted and captions with a short image description were also generated for further machine processing.
N = 46,897
Survey period: 01.04.2023 - 08.10.2023
Files
final_df_pm.csv
Files
(41.3 MB)
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md5:84335c732baa451bced04a390b81df0e
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Variables
Name | Description |
---|---|
id | Unique identifier for post |
body | Text content of the post |
author | Username of the author |
name | Full name of the author |
timestamp | Date and time of post |
type | Media type (e.g., video, photo) |
url | Link to the post |
hashtags | Hashtags used in the post |
likes | Number of likes received |
comments | Number of comments received |
num_media | Count of media items |
location | Location associated with the post |
location_latlong | Latitude and longitude of location |
location_city | City name of the location |
unix_timestamp | Timestamp in Unix format |
ocr_text | Extracted text from image |
file | File associated with the post |
party | Political party affiliation |
caption | Image caption description |
follower | Number of followers of the author |
interaction_rate | Interaction rate of the post |
Details
Resource type | Open dataset |
Title | Instagram Posts by German Parties |
Creators |
|
Research Fields | Political Science Business Administration Communication Sciences |
Size | 0.41 GB |
Formats | Comma-separated values (CSV) (.csv) |
License(s) | Please cite when using the dataset |
Dates of collection | April 1, 2023 ; October 8, 2023 |