CSR Communication of Local and Global Brands During the February 6, 2023 Türkiye Earthquakes: Platform X Posts and Public Engagement Data

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.