Optimizing and Deploying a Platform for Measuring Public Opinions on Political Actors in El Salvador with AI
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S.Cacao, CC BY-SA 3.0, via Wikimedia Commons
This is a paid opportunity. In order to be eligible to apply for this project, you need to be part of the Omdena community and have finished at least one AI Innovation Challenge.
You can find our upcoming AI Innovation Challenges at https://www.omdena.com/projects.
The problem
The widespread spread of false information, particularly during election periods, poses serious challenges. These deceptive tactics are intended to influence public opinion, compromise the integrity of elections, and destabilize democratic institutions. Misinformation (incorrect information shared without harmful intent) and disinformation (deliberately false information) can significantly influence voter behavior, reduce trust in political systems, and increase social divisions. These risks are especially pronounced during elections when citizens need accurate information to make informed choices about their leaders.
Consequences of the Issue:
- Diminished Public Trust: Constant exposure to false or misleading information can weaken public trust in the electoral process and democratic institutions, leading to voter cynicism and disengagement.
- Influenced Voter Behavior: Misinformation and disinformation can heavily sway voter perceptions and decisions, potentially affecting election results.
- Greater Polarization: By exploiting existing societal divisions, targeted misinformation can exacerbate social and political divides, increasing tensions and conflicts.
- Weakened Civil Society: The ability of civil society organizations to promote democratic values and effectively engage in the democratic process is undermined when falsehoods taint the informational environment.
Addressing the spread of misinformation and disinformation is crucial for maintaining the integrity of elections and the overall health of the democratic system in El Salvador. By providing civil society organizations with advanced detection tools, this project aims to mitigate these risks and ensure a more informed and engaged electorate.
The project goals
The primary goal of this project is to optimize and deploy a sentiment analysis tool on a scalable platform, thereby enhancing the ability of various stakeholders to analyze and understand public sentiments effectively. This initiative will proceed through several planned phases:
- Platform Optimization: Building upon existing tools and frameworks, this phase focuses on refining the sentiment analysis tool to ensure it operates efficiently on a scalable platform.
- Continuous Improvement: This phase aims to implement robust feedback mechanisms that facilitate ongoing improvements. By gathering user feedback and analyzing performance data, the tool can be continuously refined to meet evolving user needs and address any emerging issues.
- Tool Deployment: The deployment phase will involve rolling out the sentiment analysis tool on the optimized, scalable platform. This ensures that the tool is accessible and can handle varying volumes of data, providing reliable sentiment analysis in different contexts.
- Application Development: In this phase, a comprehensive application will be created, featuring robust user management, data input, and visualization capabilities. This application will provide users with an intuitive interface to interact with the sentiment analysis tool, manage their data, and visualize results effectively.
- Feedback Mechanisms: Reiterating the importance of continuous improvement, this phase will ensure that feedback mechanisms are firmly in place. These mechanisms will collect user insights and performance metrics, which will be used to make iterative improvements to the tool and application.
Thus, the project aims to deliver an optimized and scalable sentiment analysis tool with enhanced user management and visualization capabilities. This initiative is expected to significantly impact the ability of stakeholders to analyze public sentiments accurately, providing them with an advanced tool to support their efforts in various analytical and decision-making processes. Through these strategic enhancements, the project aspires to contribute to more informed and effective sentiment analysis across different domains.
**More details will be shared with the designated team.
Why join? The uniqueness of Omdena Top Talent Projects
Top Talent opportunities come as a natural next step after participating in Omdena’s AI Innovation Challenges.
Everyone in the community is eligible to participate once they have shown the relevant skills based on the merit of involvement in past Omdena challenges and the community.
If you are looking for the next challenge after participating in one or more Omdena AI Innovation Challenges, then we believe you have made the right choice! With a healthy, pressured environment, you will be pushed to contribute, learn and grow even more.
Find more information on how an Omdena Top Talent Program works
First Omdena Project?
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Eligibility to join an Omdena Top Talent project
Finished at least one AI Innovation Challenge
Received a recommendation from the Omdena Core Team Member/ Project Owner (PO) is a plus
Skill requirements
Good English
Machine Learning Engineer
Experience working with Machine Learning, NLP and/or Sentiment Analysis is a plus.
Application Form
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