---
title: "Charlott Jakob — author profile and papers — Elamur Research"
description: "Charlott Jakob, German Research Centre for Artificial Intelligence: 5 papers on Elamur Research (2026), h-index 3 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/charlott-jakob/"
---
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# Charlott Jakob

Charlott Jakob has 5 papers in our library, in 2026, most of them on [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Vera Schmitt](https://md.research.elamur.ai/free/en/authors/vera-schmitt/), [Max Upravitelev](https://md.research.elamur.ai/free/en/authors/max-upravitelev/), [Premtim Sahitaj](https://md.research.elamur.ai/free/en/authors/premtim-sahitaj/).

5 papers in our library · 2026

[OpenAlex](https://openalex.org/A5094204765) · [ORCID](https://orcid.org/0009-0002-6262-9018) · [Wikidata](https://www.wikidata.org/wiki/Q131119757) · [**h-index 3**](https://openalex.org/authors/A5094204765) · [29 works](https://openalex.org/works?filter=author.id:A5094204765) · [29 citations](https://openalex.org/works?filter=author.id:A5094204765&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/charlott-jakob/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #12692](https://md.research.elamur.ai/free/en/paper-stars/page/127/#star-12692)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Charlott+Jakob) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Charlott+Jakob) · [dblp](https://dblp.org/search?q=Charlott+Jakob) · [ACL Anthology](https://aclanthology.org/search/?q=Charlott+Jakob)

## Affiliations

[🎓**Technische Universität Berlin** Berlin · Germany 2024–2026 · 20 papersEmployment · Quality & Usability Lab*current*](https://md.research.elamur.ai/free/en/universities/technische-universitat-berlin/) · [🔬**German Research Centre for Artificial Intelligence** Kaiserslautern · Germany 2024–2026 · 13 papers*current*](https://md.research.elamur.ai/free/en/labs/german-research-centre-for-artificial-intelligence/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 10 The field of science this work belongs to (OpenAlex fields).[Social Sciences · 5 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Sociology and Political Science · 4 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/)

🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/charlott-jakob/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Retrieving Climate Change Disinformation by Narrative](https://md.research.elamur.ai/free/en/papers/upravitelev-2026-retrieving-climate-change-disinformation-narrative/)** *(2026 · 1 citation)* Climate disinformation narratives are usually detected by classifiers built on fixed taxonomies, so new storylines go unnoticed.
2. **[Fine-tuning with Hierarchical Prompting for Robust Propaganda Classification Across Annotation Schemas](https://md.research.elamur.ai/free/en/papers/stahelin-2026-fine-tuning-hierarchical-prompting-robust/)** *(2026)* Detecting propaganda in short social media posts is difficult. The texts are brief and noisy, and human annotators often disagree. Existing taxonomies list rhetorical devices such as loaded language. The authors instead propose an intent-based scheme that groups techniques by the strategic goal behind a message, such…
3. **[hermeneutichools at SemEval-2026 Task 4: Multiperspectivity as a Resource for Narrative Similarity Prediction](https://md.research.elamur.ai/free/en/papers/upravitelev-2026-hermeneutichools-semeval-2026-task-4/)** *(2026)* The paper addresses SemEval-2026 Task 4 (Track A). Each item is an anchor story and two candidate stories, and a system must pick the candidate closer to the anchor. The authors treat the existence of several valid readings of a narrative as something a model can use, not a defect of the benchmark.
4. **[News Credibility Assessment by LLMs and Humans: Implications for Political Bias](https://md.research.elamur.ai/free/en/papers/neves-2026-news-credibility-assessment-llms-humans/)** *(2026)* The paper asks whose viewpoint LLMs reflect when they judge news outlets. Earlier work compared model ratings only with expert ratings. Here the authors also compare them with public opinion split by political camp. They built a dataset of 47 outlets, 27 from the U.S. and 20 from Germany. Each outlet has expert…
5. **[Take It All: Ensemble Retrieval for Multimodal Evidence Aggregation](https://md.research.elamur.ai/free/en/papers/upravitelev-2026-take-it-all-ensemble-retrieval/)** *(2026)* Fact-checking claims that pair text with images, such as miscaptioned photos or fabricated infographics, requires analyzing both modalities.

## Co-authors here

7 co-authors with a page, the most papers together first.

- [Vera Schmitt](https://md.research.elamur.ai/free/en/authors/vera-schmitt/) ×5
- [Max Upravitelev](https://md.research.elamur.ai/free/en/authors/max-upravitelev/) ×4
- [Premtim Sahitaj](https://md.research.elamur.ai/free/en/authors/premtim-sahitaj/) ×4
- [Veronika Solopova](https://md.research.elamur.ai/free/en/authors/veronika-solopova/) ×4
- [Ariana Sahitaj](https://md.research.elamur.ai/free/en/authors/ariana-sahitaj/) ×3
- [Sebastian Möller](https://md.research.elamur.ai/free/en/authors/sebastian-moller/) ×3
- [Jing Yang](https://md.research.elamur.ai/free/en/authors/jing-yang/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Fact Extraction and VERification Workshop (FEVER)](https://md.research.elamur.ai/free/en/venues/fever/): [FEVER 2026](https://md.research.elamur.ai/free/en/venues/fever/2026/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- [Workshop on Ecology, Environment, and Natural Language Processing](https://md.research.elamur.ai/free/en/venues/nlp4ecology/): [Workshop on Ecology, Environment, and Natural Language Processing 2026](https://md.research.elamur.ai/free/en/venues/nlp4ecology/2026/)
- [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/)
- [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/): [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2026](https://md.research.elamur.ai/free/en/venues/wassa/2026/)

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
