遇见数据集

Twitter Responses to ChatGPT in Marketing Spaces (January 21-25)

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Figshare2023-03-22 更新2026-04-28 收录
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We aggregated a Twitter dataset utilizing Twitter Archiving Google Sheet (TAGS) to interact with Twitter’s API and return relevant data. To analyze the marketing side of the conversation around ChatGPT, we selected #ChatGPT as a common hashtag to target tweets talking about AI. This is the marketing dataset, so we included hashtags “marketing”, “content creation”, or “creator economy” as content creation is a field heavily impacted by ChatGPT’s writing capabilities as a chatbot and creator economy is a common word used by experts to describe the overarching industry. This would give us a more specific dataset to analyze what people well-versed in marketing, ChatGPT’s ideal audience, thought about AI’s role in marketing. Because of the TAGS limitation, our dataset was limited to tweets ranging from January 21st to January 25th for both datasets.

本研究借助Twitter存档谷歌表格(Twitter Archiving Google Sheet, TAGS)与推特API交互获取相关数据,搭建了推特数据集。为分析围绕ChatGPT展开的营销类讨论,我们选取#ChatGPT作为通用话题标签,以定位涉及人工智能的相关推文。本数据集为营销专项数据集,因此纳入了话题标签"marketing"、"content creation"及"creator economy":内容创作(content creation)领域深受ChatGPT作为聊天机器人的文本生成能力影响,而创作者经济(creator economy)则是专家用以描述该整体产业的通用术语。此举可帮助我们获得针对性更强的数据集,用于分析精通营销领域、同时也是ChatGPT核心目标受众的人群,对人工智能在营销中所扮演角色的看法。由于TAGS的功能限制,本研究的两个数据集均仅涵盖1月21日至1月25日期间发布的推文。

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2023-03-22
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