Misinformation of GM food on Weibo
View DatasetDescription
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
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Metrics Over Time
Publication Details
Subfield
Public Health, Environmental and Occupational Health
Field
Medicine
Domain
Health Sciences
Confidence Score
60%
Source
Open Alex