I was denied access to the Twitter API even after providing the requested information and I’m trying to understand why. Can someone from Twitter please help? Included below is my exchange with the Twitter developer email account (which asked me to reply to the email and the sent me an automated response that said this twitter email address does not accept replies).
I provided all of that information in the application, so I’m not sure why it didn’t go through, but here it is again:
- My Duke University Scholar Page
- My Google Scholar Page
- We will be employing automated textual analysis of the Tweets of US Congresspersons. Specifically, our plan is to use a dictionary of racially coded language, topic modeling, and sentiment analysis to identify communication patterns across political party in Congress. We will look for correlations between the use of racially charged language, sentiment, and use topic modeling to identify subtopics within tweets mentioning race.
- Our results will present both individual level data and aggregated results. The individual tweets will be used as examples of the aggregated results.
Jason Gainous, Ph.D.
Associate Dean of Undergraduate Studies
Duke Kunshan University
Co-Editor in Chief [Journal of Information Technology & Politics]
he/him/his
Hello,
Thanks for your interest in access to the academic researcher API from Twitter. After reviewing your application, we’ve determined that we need more information in order to confirm that your use case matches our requirements for academic access.
The information we need is listed below:
- Links to webpages that help establish your identity; provide one or more of the following:
- A link to your profile in your institution’s faculty or student directory
- A link to your Google Scholar profile
- A link to your research group, lab or departmental website where you are listed
- In English, describe your methodology for analyzing Twitter data, Tweets, and/or Twitter users.
- Will your research present Twitter data individually or in aggregate?
Please reply to this email to provide us the information. Please keep in mind, we need to receive the information listed above within 21 days, or Twitter will close the case without approving access.
Thanks,
Twitter
I then tried to send this email to the twitter developer accout which bounced back to me with a message that the account does not accept replies:
Please respond to this email:
I responded to the previous email. I do not understand what you are asking for. I am the Associate Dean at Duke Kunshan University, the editor of the Journal of Information Technology & Politics, and have published numerous high impact factor articles on social media and politics including one of the earliest context analyses of political Twitter data in an Oxford University Press book, so I’m trying to understand why you say my current project is ineligible. It is simply a textual project analyzing the use of racially coded language in US Congress members’ tweets.
Apparently, my project was rejected, and I’d like to know why? Do I need to provide more information? The email that came back to me wanted me to prove my credentials. I sent multiple web sources of who I am, so I don’t know what the problem is. Here it is again:
I provided all of that information in the application, so I’m not sure why it didn’t go through, but here it is again:
• This my Duke scholar page: …
• This is my Google Scholar page: …
• This is a quick summary of the project: We will be employing automated textual analysis of the Tweets of US Congresspersons. Specifically, our plan is to use a dictionary of racially coded language, topic modeling, and sentiment analysis to identify communication patterns across political party in Congress. We will look for correlations between the use of racially charged language, sentiment, and use topic modeling to identify subtopics within tweets mentioning race.
• This is an answer to the question about presentation of our results: Our results will present both individual level data and aggregated results. The individual tweets will be used as examples of the aggregated results. So, we will model the data an present aggregated topic models and sentiment analysis, but will likely use individual Congress members’ tweets to illuminate the aggregate results.
