Election interferences by authoritarian states, most prominently Russia, have been grown to a major concern after their alleged contribution to populist victories. However, little is known about the effect of such influence operations. To assess their effectiveness and potential countermeasures, it is critical to understand what the goal and strategy behind such campaigns is. Besides partisan intervention, elections also provide opportunity for democracy-eroding interference. For such an intervention, the present paper discusses two ways of targeting political support in the sense of Easton (1975), by promoting political alienation (Gamson, 1968), focussing on the perception of either the input, or output of the democratic political system. The empirical part of the paper, tests for these strategies in the runup to the 2021 German federal election. Quantitative text analysis was used to examine the information output by Russian state medium RT Deutsch over the course of the campaign. It finds that over-coverage compared to established media – including negative one – is specifically directed at candidates that lead the polls at any point of the election. This result supports the proposed outputalienation-hypothesis, though variation between candidates cautions the interpretation of the findings. The analysis also suggests that the implications of the hypothesis, negative focus on (likely future) government figures, also extends after the election. To establish this extension empirically and to make sense of differences between candidates is left to future research.
- 00_RT_Scraper.R
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updated scraping functions:
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more efficient
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allows scraping full pages of all RT versions
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- 99_scrape_RT_full.R
- scraping for Russian Media Archive Project, using 00_RT_Scraper.R
- 01_scraping_Factiva.R
- loads and converts newspaper articles from the Factiva Database
- outputs:
- folder articles/search_results_html, containing metadata of all articles published by 5 major german newspapers in 2021 (.txt)
- (deprecated - file articles/old/overview_searches.xlsx to identify if search results were missed)
- folder articles/search_results_html_missed, containing metadata that was missed above (.txt)
- folder articles/Factivahtml, containing all articles by the 5 newspapers mentioning at least one of the lead candidates (.txt)
- file articles/factiva_data.xlsx, a dataset of all 211201 articles published by the 5 newpapers in 2021
- outputs:
- loads and converts newspaper articles from the Factiva Database
- 01_get_polls.R - main output: - file polls/all_polls.RData, containing ...
- load time-series of aggregated polling data in the run-up to the 2021 German federal election from zweitstimme.org
- outputs:
- file polling_data/zweitstimme_output_100.RDS from dataverse.harvard.edu, containing replication data by zweitstimme.org
- file polling_data/zweitstimme_replication_PS.pdf, containing replication instructions
- outputs:
- scrapes actual polling numbers from dashboard on zweitstimme.org
- tbls polls_(long/wide), containing all pre-election 2021 (averaged) polls
- load time-series of aggregated polling data in the run-up to the 2021 German federal election from zweitstimme.org
- 01_get_factchecks.R
- scrapes factchecked disinformation narratives related to candidates from dpa factcheck and correctiv
- outputs:
- folder articles/disinformation, containing overview of factchecked narratives (.html and .txt files)
- outputs:
- considers scraping factchecked disinformation narratives related to candidates from tagesschau-faktenfinder
- scrapes factchecked disinformation narratives related to candidates from dpa factcheck and correctiv
- 01_scraping_RT.R
- scrapes metadata of all articles mentioning at least one of the candidates to identify most relevant articles
- outputs:
- folder articles/RT_searches_candidates, containing results for searches by candidate name on RT (25 day intervals) (.txt)
- folder articles/RT_searches_candidates_old, identical search parameters, but slightly different results (.txt)
- outputs:
- scrapes metadata of all articles by published by RT Deutsch in 2021
- outputs:
- folder articles/RT_searches, containing metadata of all articles by RT in 2021 (one- and two-day intervals) (.txt)
- folder articles/RT_all_searches, combining all search results in one place (.txt)
- outputs:
- scrapes full texts of all articles published by RT in 2021
- outputs:
- folder articles/RThtml, containing full texts of all 9701 articles (- 2 were links were broken) by RT in 2021 (.txt) (RTarticle[1:931].txt are articles that mentioned at least one of the candidates)
- outputs:
- scrapes full texts from saved articles
- outputs:
- (deprecated by RT_corpus - file articles/old/data_rt.rds, a dataset of metadata, full texts, and html code of all article pages)
- outputs:
- scrapes metadata of all articles mentioning at least one of the candidates to identify most relevant articles
- 02_data_extraction_Factiva.R - main output: - file articles/corpus_factiva.RData, containing R object corpus_factiva, corpus_factiva_candidate, factiva_corpus, and factiva_corpus_candidate
- gets tidy data (metadata and fulltext for candidate related articles) from Factivca
- outputs:
- file articles/corpus_factiva.xlsx, a dataset of metadata for all 190577 articles from 5 German newspapers published in 2021, and fulltexts for all 7892 articles mentioning at least one of the lead candidates
- outputs:
- gets tidy data (metadata and fulltext for candidate related articles) from Factivca
- 02_data_extraction_RT.R
- main output:
- file articles/RTcorpus.RData, containing the R objects corpus_RT, corpus_RT_candidate, RT_corpus, RT_corpus_candidate, summariesRT, and summariesRT_long
- converts scraped search results data from RT into tidy data
- outputs:
- (deprecated by RT_corpus - file articles/old/RT_articles.xlsx, a dataset with metadata of 8297 articles published by RT in 2021)
- outputs:
- converts scraped article pages to tidy data
- outputs:
- (deprecated by RT_corpus - file articles/old/RT_fulltext_all.xlsx, a dataset of 5701 articles including full text and metadata (including in-text links))
- outputs:
- combine both
- outputs:
- file articles/RT_corpus.xlsx, a dataset combining metadata and fulltexts of all articles
- outputs:
- scrape search summaries:
- outputs:
- file articles/summaries_RT_searches.xlsx, a dataset of search result counts for all articles by search term and day (wide format)
- file articles/summaries_RT_searches_long.xlsx, a dataset of search result counts and share for all articles by candidate and day (long format)
- outputs:
- main output:
- 03_plots.R - main output: - file plots/all_plots.RData, containing R objects of all plot and layers below
- visually checks fit of zweitstimme predictions
- outputs:
- plot gg_zweitstimme_performance, pointing to benefits of using actual polls instead of estimates
- outputs:
- creates background graphics highlighting leading party over time
- outputs:
- plot gg_leading_party_background, highlighting leading party until clearly passed
- plot gg_leading_party_background_gaps, leaving blank where top-2 don't differ significantly
- plot gg_leading_parties_trend, trends for top-3 parties
- plot gg_all_parties_poll, polls and trends for all parties
- list layers, containing ggplot layers:
- ...
- outputs:
- visually checks fit of zweitstimme predictions
- 04_sentiment_analysis.R
- performs sentiment analysis
- 04_additional_analysis.R
- performs all types of descriptive statistic
- 05_main_analysis.R
- performs main graphical analyses
- 06_regression.R
- performs multiple interrupted time-series regressions in various specifications