Grammy-awarded music artists Instagram dataset for engagement research

This dataset was developed to study user engagement with Grammy-awarded musical artists on Instagram. The data was compiled utilizing information drawn from both the official Grammy Awards website and the Instagram platform. The sample consists of 309 musical artists who were awarded a Grammy between 2020 and 2024 and maintained an active Instagram account. The dataset contains their posts published over a one-year period, from February 6, 2023, to February 4, 2024, aligning with the 65th and 66th Annual Grammy Awards cycles, respectively. The final dataset includes a total of 34,811 unique posts. The variables in the dataset are described as follows: post_time: time when the post was published following the format yyyy-mm-dd_HH-mm-ss_UTC; user: Grammy-award music artist generic username (user001, user002... up to user309); gender: coded gender identity of the artist or group, where F means female artist or all-female group; M means male artist or all-male group; and MIXED means group with artists of different gender identities; followers: the number of Instagram followers at the time of post download; awards: the number of Grammy awards obtained by the artist between 2020 and 2024; day_difference: the number of days between the post's publication and data extraction; video: a binary indicator for video posts; likes: the number of likes in the Instagram post at the time of download; comments: the number of comments in the Instagram post at the time of download; carousel: a binary indicator for carousel posts; post_images: the number of images included in a carousel post; length_caption: the number of characters in the caption; number_hashtags: the number of hashtags included in the caption; publication_weekday: weekday of the publication day; IM_performance: coded impression management category of the post image (the first one in the case of a carousel post or the snippet in the case of a video post), where there are three categories: Frontstage, for images showing music artists performing as a singer or musician; Backstage, for images featuring music artists in private or non-musical settings, such as homes, outdoor scenes, streets, or restaurants; and Offstage, for images not focused on the music artist. The file is csv formatted, and the columns are separatad by semicolon.本数据集专为研究格莱美奖（Grammy Awards）获奖音乐人在Instagram平台的用户互动情况而构建，数据整合自格莱美奖官方网站与Instagram平台。 本次样本包含309位在2020至2024年间斩获格莱美奖且拥有活跃Instagram账号的音乐人。数据集涵盖了这些账号在2023年2月6日至2024年2月4日这一年间发布的全部帖文，该时间段分别对应第65届与第66届格莱美奖评选周期，最终共收录34811条独立帖文。 数据集包含以下变量： post_time：帖文发布时间，格式为yyyy-mm-dd_HH-mm-ss_UTC； user：格莱美奖获奖音乐人通用用户名，格式为user001、user002……直至user309； gender：艺人或组合的性别身份编码，其中F代表女性艺人或全女性组合，M代表男性艺人或全男性组合，MIXED代表成员性别多元的组合； followers：帖文下载时该账号的Instagram粉丝数； awards：该音乐人在2020至2024年间获得的格莱美奖项总数； day_difference：帖文发布时间与数据提取时间之间的天数差； video：视频帖文二进制标识； likes：下载时该Instagram帖文获得的点赞数； comments：下载时该Instagram帖文获得的评论数； carousel：轮播帖文二进制标识； post_images：轮播帖文包含的图片数量； length_caption：帖文配文的字符数； number_hashtags：帖文配文包含的话题标签数量； publication_weekday：帖文发布当日为星期几； IM_performance：帖文首图（轮播帖文取首张图，视频帖文取预览帧）的印象管理（impression management）类别编码，共分为三类：台前（Frontstage），指展现艺人作为歌手或音乐人进行表演的画面；幕后（Backstage），指展现艺人处于私人或非音乐场景的画面，如住宅、户外场景、街道或餐厅等；场外（Offstage），指未以音乐艺人为主体的画面。 本数据集采用CSV格式存储，列之间以分号分隔。