DOI: 10.5281/zenodo.18456233
title: CSR Communication of Local and Global Brands During the February 6, 2023 Türkiye Earthquakes: Platform X Posts and Public Engagement Data

description: This dataset contains social media posts collected from Platform X (formerly Twitter) between January 1, 2023 and March 31, 2023, covering the period before, during, and after the February 6, 2023 earthquakes in Türkiye. The data include posts from 52 Fortune 500 brands operating in Türkiye across multiple industries.

The dataset enables analysis of how brands communicated corporate social responsibility (CSR) efforts during the disaster and how message composition, brand origin, and contextual relevance influenced public engagement. Posts are coded through structured content analysis, and engagement metrics are directly recorded from Platform X. The data also include disaster-period segmentation and message-type classifications for CSR and relief communication.

This dataset supports research on CSR communication, disaster communication, engagement analytics, and cross-cultural brand communication in crisis contexts.

Time coverage: January 1, 2023 – March 31, 2023.

File Description

brands_posts_comments.csv — Main dataset containing brand posts, coded CSR variables, engagement metrics, and disaster-period information.

Field Names and Explanations (exact CSV headers)








Field Name
Description




Tweet ID
Unique identifier of the post on Platform X


Timestamp
Date and time when the post was published


is_reply
Indicator (1/0) whether the entry is a reply rather than an original brand post


is_retweet
Indicator (1/0) whether the post is a repost/retweet


image
Indicator (1/0) whether the post contains an image


video
Indicator (1/0) whether the post contains a video


brand_post_type
Categorization of the type of brand post based on content analysis


disaster_aid_action_type
Classification of CSR/disaster aid action communicated in the post (e.g., donation, sympathy, logistics support)


relief_effect_type
Coded type of relief impact or intended effect described in the post


Comments
Number of replies/comments received by the post


Retweets
Number of reposts/retweets


Likes
Number of likes received by the post


Brand
Name of the brand that posted the content


Nationality
Classification of the brand as Local or Global


Industry
Industry sector of the brand (e.g., FMCG, retail, technology, finance)


FollowersCount
Number of followers of the brand account at the time of data collection


tag_count
Number of hashtags used in the post


mention_count
Number of user mentions in the post


emoji_count
Number of emojis used in the post


disaster_period
Period relative to the earthquake (pre-disaster, immediate response, early recovery, late recovery)




Methodology





Content analysis for brand_post_type, disaster_aid_action_type, and relief_effect_type




Engagement analysis using Likes, Retweets, and Comments




Visual richness analysis using image, video, and emoji_count




Interactivity analysis using tag_count and mention_count




Brand origin comparison using Nationality




Disaster phase segmentation using disaster_period



Ethical Considerations

This dataset contains only publicly available social media content. No personal or sensitive individual data are included. The dataset complies with applicable data protection regulations and Platform X terms of service.