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Misinformation of GM food on Weibo

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Figshare2021-04-24 更新2026-04-08 收录
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https://figshare.com/articles/dataset/Misinformation_of_GM_food_on_Weibo/14471316/1
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explanations of the variables:mid: unique identifier for each genetically modified food postcreated_at: the date that the post was createdfalse rumor: false rumor (1) or not false rumor (0)gender: female (1) or male (0)registration_age: days between the date of profile creation and date of the messagestatuses_count: the number of posts posted by this userstatuses_count_per_day: statuses count / registration agefollowers_count: the number of user’s followersfollowees_count: the number of user’s followeesfollowees_count_per_day: number of followees/ registration ageverification: whether Sina Weibo verifies the userfollow_ratio: the logarithmically scaled ratio of followers over followers, log10 (#followers/#following)friends_count: the number of users who have a mutual following relationship with this user sentimentsentiment: negative, neutral, positiveattitudes_count: the number of attitudes on the postcomments_count: the number of comments on the postreposts_count: the number of retweets of the posttopic0: the first topic generated from LDAtopic1: the second topic generated from LDAtopic2: the third topic generated from LDAtopic3: the fourth topic generated from LDAtopic4: the fifth topic generated from LDAtopic5: the sixth topic generated from LDAtopic6: the seventh topic generated from LDAtopic7: the eighth topic generated from LDAtopic8: the ninth topic generated from LDA

变量说明如下: mid:每条转基因食品相关帖子的唯一标识符 created_at:帖子创建时间 false rumor:谣言标识,1表示该帖子为不实谣言,0表示该帖子非不实谣言 gender:用户性别标识,1代表女性,0代表男性 registration_age:用户账号注册至该帖子发布的天数间隔 statuses_count:该用户发布的总帖子数 statuses_count_per_day:日均发帖量,即总发帖量与账号注册时长的比值 followers_count:该用户的粉丝数 followees_count:该用户的关注数 followees_count_per_day:日均关注量,即关注数与账号注册时长的比值 verification:新浪微博账号认证状态,即该用户是否通过新浪微博官方认证 follow_ratio:粉丝关注比的对数缩放值,计算公式为以10为底的(粉丝数/关注数)的对数 friends_count:与该用户互相关注的用户数(即好友数) sentiment:情感倾向类别,包含负面、中性、正面三类 attitudes_count:该帖子的点赞量 comments_count:该帖子的评论数 reposts_count:该帖子的转发数 topic0:通过潜在狄利克雷分配(Latent Dirichlet Allocation,LDA)生成的首个主题 topic1:通过LDA生成的第二个主题 topic2:通过LDA生成的第三个主题 topic3:通过LDA生成的第四个主题 topic4:通过LDA生成的第五个主题 topic5:通过LDA生成的第六个主题 topic6:通过LDA生成的第七个主题 topic7:通过LDA生成的第八个主题 topic8:通过LDA生成的第九个主题
提供机构:
Jiaojiao Ji; Naipeng Chao; Shitong Wei
创建时间:
2021-04-24
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