遇见数据集

Comparison of objective WhatsApp data and subjective self-reports before and after data-driven personalized feedback

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Zenodo2026-04-01 更新2026-05-26 收录
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General information Note that this dataset partically overlaps with another dataset published earlier. However, since the data are associated with different analyses and publications, we chose to release two targeted datasets corresponding to each. The dataset contains de-identified messaging meta-data from 68 WhatsApp data donations. The data was collected from August 2022 to June 2024 in an online study using the data donation platform Dona. The participants first answered questions to their sociodemographic information, current mood and aspects of their texting behavior, such as whether they send a higher number of words per month than they receive. After the survey, the participants donated their WhatsApp data on Dona and received visualizations of their messaging behavior, such as how much they write in different chats, then are they more active, et cetera. The goal was to compare whether data-driven visualizations change self-assessments of messaging behavior toward more objective values. For more information on Dona, the associated publications and updates, please visit https://mbp-lab.github.io/dona-blog/. File description donation_table_CHB.csv - contains general information about donations including donation_id: donation identifier donor_id: the ID of the donor to distinguish the messages sent by them from those sent by contacts source: the messaging platform from which the data is donated (WhatsApp) external_id: ID used to connect messaging data with the survey data donation_table_CHB_filtered.csv - same as donation_table_CHB excluding 3 participants who did not provide the required number of chats messages_table_CHB.csv - contains the donated messages including conversation_id: chat identifier sender_id: sender identifier datetime: time of the message, UNIX time for Facebook and device time for WhatsApp word_count: word count of the messages achieved by splitting the text based on whitespace donation_id: donation identifier (also listed in donation_table_CHB.csv) messages_table_CHB_filtered.csv - same structuve as messages_table_CHB.csv excluding the three donors who did not provide the required number of chats pre_survey_CHB.xlsx -> survey responses before data donation and visual feedback post_survey_CHB.xlsx -> survey responses after data donation and visual feedback survey_coding_CHB.xlsx → contains the mapping between the column names in surveysand their meaning, including the original survey questions and response options. Request access: If you would like to request access to these files, please reach out to Dr. Olya Hakobyan at olya.hakobyan@uni-bielefeld.de. You need to satisfy these conditions in order for this request to be accepted: Individuals wishing to use the data set must hold an academic affiliation. Further to this, they have to download and fill out the End User License Agreement (EULA) and submit it to us. This dataset is intended for research purposes only.

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Zenodo
创建时间:
2025-11-11
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