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.

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.

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.

Ad Transparency API extended to the UK. The UK is currently in the grip of political populist turmoil that seeks to dismantle key pillars of our liberal parliamentary Democracy. A General Election is imminent in the Autumn of 2019. We need to have access to Political Ad data via API so we can track spending across Social Media Platforms and hold the creatives of these Ads to account.

Many common research use-cases would be greatly facilitated by an API that could return summary level information. For instance, for any subset of tweets based on a particular query term(s) and period:

• hourly/daily/weekly counts of matching tweets




• histogram data of top hashtags / handles referenced / links shared




• proportion of retweets / replies / first posts




• proportion of dataset generated by top n contributors

These would be very valuable from a purely research perspective, but presumably they present considerable challenges for implementation. But a methodology similar to Google Trends might be possible.

Deploy a new API call to retrieve a random tweet from the index. Would be an important asset for characterization studies.