Academics should receive increased access (beyond seven days) to historical data. The seven-day limitation severely limits academic inquiry and is a primary driver behind extravagant costs for those using Twitter data in their research.

Academics should not be burdened with the same rate limits as those who access the APIs for commercial means. Lifting these rate limits would significantly increase the rate at which data could be gathered, creating cost and time efficiencies for those using Twitter data in their research.

In addition to standard, premium, and enterprise API accounts, I hope there will be an option for Academia/Social/Non-Profit accounts. As a graduate student, it would be very exciting to have access to free/affordable large datasets.

I request the Twitter to allow access to all the replies of a tweet (all the conversations of a thread). It would be very useful for academics working in user behavior analysis, argumentation mining, hate speech detection because comment or reply reflects the actual thought process of a replying user.

Academic researchers should have to submit a statement of ethics declaring their work with Twitter data will not be harmful to oppressed and marginalized people, who are disproportionately harmed by unethical data research practices. Twitter should also make the statements available to the wider community so other folks can learn from them or get ideas for modeling their own statements.

At the moment there appear to be two archive downloads. One from the Account page and another from the Your Twitter Data page. The first comes as a zip file with a nice index.html viewer. The second includes a lot more data but lacks a viewer. It would be useful if these options were combined into a single archive download that contains a usable viewer for the complete data.

This is important for archives that would like to accept snapshots of user's social media content for preservation and research.

In the current search API, the only form of engagement for which scholars currently get accurate metadata is RTs. There is no metadata field for Replies and the field for Likes does not return the number of times a tweet has been liked by other users. This information would be very valuable for academics, especially considering that the use of the "Like" button by users has increased substantially.

Important data to understand user intentions and information needs.

I'd like access to predefined datasets that provide ideas for my research and make it easy to get started.

A lot of researchers in the health field utilize location data to understand trends within a defined area. This is important when studying twitter data in relation to epidemics. However, it seems currently it's not possible to access geo-location data thus hindering this process.

Kindly add geo-location data to the Twitter API

Take part in Social Science One (https://socialscience.one/ ) and/or work with other non-profit intermediaries such as academic libraries and data providers (for example GESIS in Germany) for Firehose access or access to the complete follow network or other large scale data. They have the most experience when it comes to researchers' needs and can act as a trustworthy partner when it comes to protecting user privacy and the like.

Currently, the Twitter Developer application process can result in an application being rejected without explanation, with no option for appeal or reapplication from the same Twitter account. Being more transparent about the reasons for rejection, as well as allowing people to appeal or reapply, is likely to lead to more clarity on the actual rules of the Twitter Developer application process as well as healthier community engagement.

Currently, the Twitter API allows one to capture data on the number of likes, retweets, and replies for each tweet. However, this does not represent total engagement as it is missing data such as link clicks, profile clicks, detail expands, etc.

In order for researchers to understand what tweets gain most engagement, it is crucial to get the 'Total Engagement' data and impressions data for each tweet. This will help researchers understand specifically what type of content gets the highest engagement and accordingly tailor health messages.

I would like to use Twitter data as a referenced source for my research, however I don't know the guidelines and best practices for making sure I'm getting a reliable result or signal. Please give me a process to follow for ensuring I'm getting what I need.

Having the title, description or other URL specific metadata for links shared in Tweets would be helpful for additional signal.

Build infrastructure for researchers to store their data collection and analysis code to allow better replication of existing studies. So a database with "here's the published paper" and "here's the code we used for data collection and analysis".

Firs,t this would serve as a place for documentation and help on many methodological choices. Second, it might encourage large-scale replication studies, exploring how solid are some results emerging from Twitter data.