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Table 1 Descriptions of properties of the extracted tweets

From: An exploratory study to understand how people use Twitter to share experiences or information about spinal stenosis

Properties

Descriptions

Matched profile

Searching for stenosis and/or spinal stenosis

Content snippet

Any tweets mention the search terms (i.e., stenosis, or spinal stenosis)

Original Twitter user's home page

A link to the homepage of the user who posted the tweet

Original tweet link

A link to the user's original tweet

Sentiment

The tweets that mentioned some simple or typical words about emotions (e.g., happy or sad)

Post type

The format of tweets (i.e., text, link, image, or video)

The type of sentence appears

The type of tweets (i.e., comment, new host, twitter reply, question)

Retweets

Number of tweets is retweeted by other users

Followers

Number of followers or subscribers

Data source

The location that the tweet was posted (i.e., region, country)

Gender

It shows the gender of a given Twitter user (i.e., female, male, unknown)

Word count

The number of words in a tweet