Tweet IDs for "Using semantic similarity to measure the echo of strategic communications"

This file contains the list of all tweet IDs studied in the paper "Using semantic similarity to measure the echo of strategic communications".We develop a novel method for quantifying the response to strategic communications in different media settings. Our test case uses a set of press releases from environmentally-interested advocacy organisations and tracks their resonance with the general public on Twitter.Tweets were collected via Twitter Streaming API by searching for the keywords "climate change" and "global warming" between 2019-11-01 and 2021-10-31. Several short interruptions to real-time collection occurred, which were filled using the historic search options from the Twitter V2 Academic API.Code and further details for this work can be found in the Github repository.本文件收录了论文《使用语义相似度衡量战略传播的回响》（Using semantic similarity to measure the echo of strategic communications）中所研究的全部推文ID列表。本研究提出了一种创新性方法，用于量化不同媒体环境下针对战略传播的响应程度。本研究以一批来自关注环境议题的倡导组织的新闻稿作为测试案例，追踪其在Twitter（推特）平台上与普通公众的共鸣程度。研究人员通过Twitter Streaming API（推特流式API），于2019年11月1日至2021年10月31日期间，以关键词“气候变化”（climate change）与“全球变暖”（global warming）为检索词进行搜索，以此收集相关推文。实时数据采集过程曾出现数次短暂中断，我们通过Twitter V2 Academic API（推特V2学术版API）的历史搜索功能补齐了中断时段的缺失数据。本研究的代码及更多细节可在GitHub仓库中获取。