Trial Promoter automates important aspects of the generation, distribution and assessment of user-friendly, social media messages. We currently deploy and test the system in the context of developing evidence-based, digital clinical research recruitment methods and health promotion interventions. With each project and experiment, we test and launch new features. If you're interested in collaborating, please contact us.
Sample messages generated by Trial Promoter for Twitter and Facebook
Trial Promoter automates important aspects of the generation, distribution and assessment of user-friendly, social media messages. It also provides features to ensure rigorous scientific design.
Trial Promoter imports data and message templates to generate customized social media messages.
Trial Promoter schedules your social media messages and automatically publishes them on Twitter and Facebook.
Trial Promoter monitors and displays engagement measures for each social media message.
Trial Promoter automatically collects and imports comments and replies for distributed messages. The tool also has the capability to determine the "toxicity" of comments using Perspective API, a machine learning tool provided by Google that scores comments.
To reduce bias in the distribution of message characteristics, Trial Promoter has the capability to randomize elements such as message templates, images and hashtags. Used randomization techniques include Fisher-Yates shuffle and sampling methods.
For each experiment, Trial Promoter supports the creation of a data dictionary that centralizes the information about the data to be collected (e.g., value names, meaning, origin, format) to generate customized and comprehensive reports.
Trial Promoter is available under the MIT License
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