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The research team that is given this list of ids then need to "rehydrate" the tweets via Twitter's API. One of the things that I am looking into is what metadata can be shared along with each tweet id. This would enable researchers using the data to filter out tweets that aren't
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needed for their research and reduce the number of API requests needed to rehydrate the remaining tweet ids. After I confirm with Twitter if sharing metadata for each tweet id is possible, I wanted to ask other researchers which pieces of metadata are most important.
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Right now, I am creating a list of metadata fields to accompany each tweet id. Currently, I have the following metadata fields in mind. My question to other researchers is what other metadata would be helpful to aid in pre-filtering the data. Here are the fields I've added so far
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tweet id (bigint) user_id (bigint) conversation_id (bigint) is_retweet (bool) is_quoted_tweet (bool) is_reply (bool) is_root (bool) last_update_time (int) retweet_count (int) favorites_count (int) reply_count (int) contains_location_data (bool) contains_media_types (enum int)
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is_verified (bool) user_follower_count (int) user_creation_epoch (int) Keep in mind that some fields may not be allowed via Twitters TOS (I need to clarify this with Twitter). Again, the main objective is to give as much metadata as possible to assist researchers in easily
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pre-filtering the data before rehydrating tweets. If you can think of any other useful metadata to accompany each tweet id, please feel free to add your ideas and recommendations. I will update with more info once I get more guidance from Twitter.
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Replying to
how about instead of providing the metadata with tweet IDs, you provide a queryable API filtering on the metadata on your end? you can share only tweet IDs from the resulting query made to said API. this wouldn't require an approval from Twitter either since no metadata is shared
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