Ensuring consistent language across the company is costly and time-consuming, requiring extensive training and meticulous proofreading—especially with the ever-growing volume of daily content.

Identifying the subtle linguistic elements that drive better audience engagement requires in-depth linguistic analysis supported by media research and performance data—an increasingly difficult task given the vast amount of daily content.

Poor word choice in content can lead to significant, long-term reputational damage. In the fast-paced social media landscape, quick and precise expressions are essential to avoid negative perceptions.

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Tegami.ai was a research-driven project focused on developing and evaluating new approaches to text analysis and media bias detection. During its development, the project successfully secured funding through the German EXIST program and collaborated with partners such as Südkurier and Spiegel to investigate practical applications of bias and language analysis.

As our work evolved, we made the strategic decision to consolidate our efforts and focus fully on the Media Bias Group, where this line of work has continued to develop and scale significantly.

While Tegami.ai is no longer actively developed as a standalone project, we are keeping this website online to document the project itself. Many of the insights and experiences gained through Tegami.ai continue to inform our ongoing work.

For current projects and research activities, please visit the Media Bias Group website. For inquiries regarding collaboration or text and bias analysis, feel free to contact us.

We thank all collaborators and partners for their support throughout the project.

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