We are looking for a candidate for a final project with the following starting situation and target orientation:

In today's digital world, user-generated content (UGC) plays a crucial role in the success of websites and online communities. UGC includes all content created and published by users on platforms such as blogs, forums, social networks, and e-commerce websites. This content is often diverse and ranges from texts and images to videos and comments.

Managing and moderating UGC is a significant challenge. Manual processes are time-consuming and error-prone, leading to inefficient use of resources. Additionally, there is a risk that inappropriate or harmful content will be published, which can damage user trust and the reputation of the platform.

Target orientation

The goal of this project is to develop a universal CMS service (comparable to a plugin) that uses artificial intelligence (AI) to automate and optimize the capture, moderation, and management of user-generated content. The service should provide the following functions:

• Automated content normalization: AI-supported normalization of all incoming formats (pdf, word, email, etc.) and return of the normalized content to the sender in an editor-accessible format.
• Analysis: AI-based algorithms should analyze content during normalization/acceptance for relevance, quality, and compliance with community guidelines.
• Moderation and filtering: The service should be able to automatically detect and remove inappropriate or harmful content.
• Categorization and tagging: Content should be automatically categorized and tagged with suitable tags to improve discoverability and organization.

General information

More information about the company

PEIQ, a company with locations in Augsburg and Bergkirchen, develops editorial systems for local newspapers as well as specialized products for capturing and exporting editorial articles from editors, freelancers, and so-called reader reporters. PEIQ is testing solutions with prototypes and selected pilot customers from the segment of local newspapers, which use AI support to combine text and image fragments to assist authors in creating their articles. The fragments are AI-assisted and presented to the author as a proposal. By greatly simplifying and accelerating the creation of content, the question of the quality and authenticity of the content created becomes a priority. The acquisition of authors, the quantity of content, and the examination of the quality of the content created represent a burden for local newspaper publishers, which should be reduced through technical support.

Do you bring that?

Technical analytical study, preferably with a focus on the field of AI

Foundational knowledge in the field of AI

Basic mathematical knowledge to understand the theoretical foundations of AI

Basic programming knowledge

First experience with scientific work

Methodical approach

PEIQ offers you!

Future-oriented topic

Experienced guidance and regular 1:1 meetings with your mentor

Flexibility regarding work location (nationwide) and working hours

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About us

We are cloud pioneers out of passion! From our experiences with over 600 newspapers, online portals with 600 million PIs per month, and over 500,000 authors and editors, we have developed tools for newspaper publishers for over 40 years. Our over 70 employees deal with topics such as cloud computing, software as a service (S-a-a-S), digital publishing, and print 2.0 on a daily basis. Together as a team, we have achieved first place in the kress pro ranking “The best editorial systems 2022”. With a deep understanding of the digital and development projects, promoted by the Google Digital News Innovation Fund (DNI), we accompany our customers on their way into the digital future. Become part of our team and help us continue our success story.