{"part":"task","text":"# Datasets\nPass a dataset's id as the `dataset` argument.\n{\n \"id\": \"bowles_countering\",\n \"rows\": 868,\n \"description\": \"The data aims to test whether trusted WhatsApp messages can counter COVID-19 misinformation in Zimbabwe. Partnering with Internews and Kubatana, the researchers crafted short weekly messages: Week 1 emphasized transmission and social distancing, Week 2 debunked fake cures. At the WhatsApp broadcast list level, timing was randomized: treatment groups received messages on Monday, control groups on Saturday. To measure effects, a survey was sent on Thursday. Knowledge was assessed through factual questions, and behavior through a list experiment, where respondents received either a short list (only non-sensitive activities) or a long list (the same activities plus a sensitive one: visiting others during lockdown). Broadcast lists were blocked in groups of four, with random assignment across timing (treatment vs. control) and list length (short vs. long).\\n\\nData variables\\nResponseId: identifier for the responses from the individuals\\nBehavior: number of activities the respondent participated in, coded from 0 to 5\\nId: identifier for individuals participating\\nList: binary variable, equals 1 if the WhatsApp broadcast list is assigned to the long experimental list\\nqualtrics: binary variable indicating response mode (1 if Qualtrics, 0 if WhatsApp)\\nT: treatment indicator, equals 1 if the WhatsApp broadcast list is assigned to the treatment group\\nfemale: binary variable, equals 1 if the respondent is female\\nc_Q4: survey question on factual knowledge about COVID-19 transmission or prevention\\nc_Q5: survey question on factual knowledge about misinformation or fake cures\\nKnowledge: z-score of the respondent's answers to the factual questions\\nc_Q4_1: sub-item of Q4 (first option, coded 1 if correct, 0 otherwise)\\nc_Q4_3: sub-item of Q4 (third option, coded 1 if correct, 0 otherwise)\\nc_Q4_4: sub-item of Q4 (fourth option, coded 1 if correct, 0 otherwise)\\nc_Q4_5: sub-item of Q4 (fifth option, coded 1 if correct, 0 otherwise)\\nblock: randomization block (grouping of broadcast lists created at similar times)\\nlength_subscribe: number of months the WhatsApp broadcast list had been active\\nWeek: indicator for intervention week (1 = distancing message, 2 = misinformation/cures message)\\nresponse_rate: fraction of weekly responses coming from WhatsApp per person\\nWeek_id: numeric identifier for the week\\nurban: binary variable, equals 1 if the individual lived in an urban district\",\n \"columns\": {\n  \"Unnamed: 0\": \"int64\",\n  \"ResponseId\": \"str\",\n  \"Behavior\": \"float64\",\n  \"id\": \"int64\",\n  \"List\": \"int64\",\n  \"qualtrics\": \"int64\",\n  \"T\": \"int64\",\n  \"female\": \"int64\",\n  \"c_Q4\": \"float64\",\n  \"c_Q5\": \"float64\",\n  \"Knowledge\": \"float64\",\n  \"c_Q4_1\": \"float64\",\n  \"c_Q4_3\": \"float64\",\n  \"c_Q4_4\": \"float64\",\n  \"c_Q4_5\": \"float64\",\n  \"block\": \"int64\",\n  \"length_subscribe\": \"int64\",\n  \"Week\": \"int64\",\n  \"response_rate\": \"float64\",\n  \"Week_id\": \"int64\",\n  \"urban\": \"int64\"\n }\n}"}