/vaping

Supplementary materials for S. Adhikari, A. Uppal, R. Mermelstein, T. Berger-Wolf, E. Zheleva. Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions. AAAI Conference on Web and Social Media (ICWSM) 2021.

Primary LanguageJupyter NotebookMIT LicenseMIT

Cannabis Legalization and Vaping

Supplementary materials for S. Adhikari, A. Uppal, R. Mermelstein, T. Berger-Wolf, E. Zheleva. Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions. AAAI Conference on Web and Social Media (ICWSM) 2021.

Description

The following is the description of the folders and subfolders.

  • instructions

    • labelbox: Instructions for annotating 500 JUUL and 500 cannabis-related tweets for three questions (Q1, Q2, Q3) using LabelBox platform.
    • mturk: Instructions for annotating 1000 JUUL and 1000 cannabis-related tweets for two questions (Q1, Q2) using Amazon Mechanical Turk platform.

  • dataset

    • mapping: allJuulIds.zip and allCannabisIds.zip contain the mapping between internal ID and actual Tweet ID. These are large files containing Tweet IDs for all tweets extracted by keyword/hashtag filtering as described in the paper.
    • labelbox: Annotations for Tweets in LabelBox with two annotators, A1 and A2, per tweet.
    • mturk: Annotations for Tweets in Amazon Mechanical Turk performed with three annotators per tweet.

Questions

Here <target> can be either e-cigarettes or cannabis.

Q1. To the best of your judgment, is this tweet referring to <target>?

The answer should be one of the following:

  • Yes: The tweet is referring to <target>.
  • No: The tweet is not referring to <target>.

Q2. To the best of your judgment, is the person who wrote this tweet in favor of or against <target> use?

The answer should be one of the following:

  • In favor: The tweet suggests that the tweet author is in favor of <target> use. This can be expressed by tweeting about personal <target> use, the experience of <target> use, intention to use, positive opinion on <target>, or advantages of <target>.
  • Against: The tweet suggests that the tweet author is against <target> use. This opposition can be expressed with negative experiences, negative opinions, intention to quit, information about harmful effects or disadvantages.
  • Neither: The tweet is neutral, or the author’s position can not be determined from the tweet, or the tweet is not about <target>.

Q3. To the best of your judgment, is this tweet about a personal experience, opinion, or observation?

The answer should be one of the following:

  • Yes: The tweet shares personal experience, opinion, or observation.
  • No: The tweet is not personal. Typically promotional tweets (advertisements) and news-related tweets as well as quotes from others are not considered personal tweets.
  • Not sure: The answer “Yes” or “No” cannot be decided based on the tweet.