CSIS NATIONAL HATE SPEECH DASHBOARD

A trend aggregator of tweets containing hate speech against vulnerable minorities in Indonesia.

About Project

Policy Relevance
Having a dashboard that can accurately capture and identify online hate speech trends is important for three reasons. Firstly, it would supplement existing qualitative hate speech studies in Indonesia by providing quantifiable data portraying the volume and actors that share hate speech content. In conjunction with existing research, this dashboard will be crucial in developing a better description of the magnitude and gravity of online hate speech in Indonesia.
Secondly, by providing information on not only the volume of hate speech but also who is the network of actors who post and/or shares them, this dashboard can also assist policymakers to develop more accurate policies in targeting the sources of online hate speech in Indonesia.
Thirdly, by providing the chronological patterns of how online hate speech intensifies, the dashboard can assist policymakers and other relevant stakeholders in developing early warning markers to anticipate and pre-empt a rise in hate speech in future electoral periods.
Suggested Citation

Lina Alexandra, Alif Satria, Edbert Gani Suryahudaya, and Beltsazar Krisetya, “The National Hate Speech Dashboard,” CSIS Indonesia, (2021). https://hatespeech.csis.or.id

List of Terminologies
  1. Hate Speech: Tweets that uses phrases which legitimize hostile actions or ascribe negative qualities towards the identity of a vulnerable community (i.e., Ahmadiyyah, Syiah, and Chinese Indonesians).
  2. Engagement Ratio: The number of tweets that was engaged (i.e., liked, replied, retweeted) compared to the number of tweets that was not engaged.
  3. Non-linked: Tweets that exclusively contain hate speech against Chinese Indonesians
  4. TKA-related: Tweets that contains hate speech against Chinese Indonesians while relating them to Chinese foreign workers
  5. COVID-19-related: Tweets that contain hate speech against Chinese Indonesians while relating them to the COVID-19 Pandemic (including vaccines).
  6. PKI-related: Tweets that contains hate speech against Chinese Indonesians while relating them to the banned Indonesia Communist Party (Partai Komunis Indonesia, PKI)
  7. Mainland Chinese-related: Tweets that contains hate speech against Chinese Indonesians while relating them to the People's Republic of China

About the Dashboard

This dashboard defines hate speech as “any tweet that uses phrases which legitimize hostile actions or ascribe negative qualities towards the identity of a vulnerable community.” This dashboard provides visualizations on three important trends of online hate in Indonesia: first, general trends regarding the volume of hate speech by topic by time; second, content trends surrounding the content of online hate speech, including used hashtags, links and video content, and subtopics; and third, the trends of the actor networks that produce and/or interact with hate speech content.

This dashboard sources its data from public tweets on Twitter and limit the focus of its observations towards hate speech that are targeted to three vulnerable minorities in Indonesia: Indonesian Ahmadiyyah, Shi’a Indonesians, and Chinese Indonesians. These actors are selected because in the past these communities have been targeted by some of the worst campaigns of hate speech in the country – each campaign resulting into significant, and normalized, violation of their rights. For more information regarding the dashboard’s data collection and categorization methodology, you can download the Codebook below.