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Methodology and system that helps journalists investigate influencers on social platforms on a greater scale

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LOGO Tracking Influencers

Tracking Influencers aims to help journalists investigate influencers on social platforms on a greater scale using AI technologies and developing a replicable methodology. The initial focus of the project is on Instagram and specifically on creating a system to flag those users who are promoting brands or services without complying with the guidelines that mandate disclosure of all commercial relationships.

This project is part of the 2022 JournalismAI Fellowship Programme. The Fellowship brought together 46 journalists and technologists from across the world to collaboratively explore innovative solutions to improve journalism via the use of AI technologies. You can explore all the Fellowship projects at this link.

The project was developed as a collaboration between Sky News, Infobae and Il Sole 24 Ore.

JournalismAI is a project of Polis – the journalism think-tank at the London School of Economics and Political Science – and it’s sponsored by the Google News Initiative. If you want to know more about the Fellowship and the other JournalismAI activities, sign up for the newsletter or get in touch with the team via [email protected].

📃 Project documentation

The report of this adventure: the challenges faced, the goals achieved and those still to be implemented, the mistakes made and the advices to avoid repeating them.

https://tracking-influencers.com/

Repos

The use of the research software provided in this release is done at your own discretion and risk and you will be solely responsible for any damage to your computer system or loss of data that results from such activities. You are solely responsible for adequate protection and backup of the data and equipment used in connection with research software.

The research software may contain links to external websites that are not provided or maintained by it and does not guarantee the accuracy, relevance, timeliness, or completeness of any information on these external websites.

You are solely responsible for determining the appropriateness of using and distributing the research software and you assume all risks associated with its use.

⚙️ backend-influencers

The content management system used to store the data, with the content-types and the relationships implemented.

repo backend-influencers

More info in the "Strapi Rest API" section

🇹 tensorquery

Chrome extension to save and download the query made on social media platform Tensor Social locally in a json format.

repo tensorquery

More info in the "Marketing platforms" section

🛠️ tensorsocial

App to interact with Tensor Social API

repo tensorsocial

More info in the "Marketing platforms" section

↔️ tensorsocial-to-strapi

Python script to import influencers data from Tensor Social to database via Strapi CMS

repo tensorsocial-to-strapi

More info in the "Marketing platforms" section

📥 diata

Service collects data associated with users' accounts on Instagram

repo diata

More info in the "Scrapers" section

👁️‍🗨️ influ-post-import

Python script to import scraped posts to the database

repo influ-post-import

More info in the "Gathering the data" section

🏷️ brands-import

Script to import Instagram brands' profiles to the database

repo brands-import

More info in the "Brands dataset" section

📈 analysis

Python and R scripts to conduct the exploratory data analysis for profiles and captions.

repo analysis

More info in the "Analysis" section

📸 frontend-influencers

The project documentation app made in Next.js

repo frontend-influencers

🔎 lib-test

Python scraping library tests to collect data about Instagram influencers

repo lib-test

More info in the "Scrapers" section

📬 Let's keep in touch

For questions, notices or collaborations, please write us at [email protected]

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