🧑‍🔬 Veronika Solopova

🏛️ Affiliations

🎓Technische Universität BerlinBerlin · Germany2023–2026 · 34 papersEmployment since 2023 · Senior Researchercurrent🔬German Research Centre for Artificial IntelligenceKaiserslautern · Germany2026 · 18 paperscurrent🎓Freie Universität BerlinBerlin · Germany2020–2023 · 9 papers🎓University of BambergBamberg · Germany2023–2024 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Automated multilingual detection of Pro-Kremlin propaganda in newspapers and Telegram posts (2023 · 13 citations)
   Since Russia's full-scale invasion of Ukraine, pro-Kremlin narratives have spread in volumes that no team of human fact-checkers can review.
2. From Articles to Premises: Building PrimeFacts, an Extraction Methodology and Resource for Fact-Checking Evidence (2026 · 1 citation)
   Professional fact-checks contain detailed evidence and reasoning, but this material is buried in free-form prose, so automated verification systems rarely reuse it.
3. Retrieving Climate Change Disinformation by Narrative (2026 · 1 citation)
   Climate disinformation narratives are usually detected by classifiers built on fixed taxonomies, so new storylines go unnoticed.
4. Fine-tuning with Hierarchical Prompting for Robust Propaganda Classification Across Annotation Schemas (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…
5. hermeneutichools at SemEval-2026 Task 4: Multiperspectivity as a Resource for Narrative Similarity Prediction (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.
6. Selective Multimodal Retrieval for Automated Verification of Image–Text Claims (2026)
   Text-based fact-checking pipelines often fail when misinformation pairs a statement with an image. Fully multimodal systems handle such claims but are expensive and can behave unpredictably. For the FEVER-9 shared task, the authors built a pipeline that decides deliberately where visual information is used, instead…
7. Take It All: Ensemble Retrieval for Multimodal Evidence Aggregation (2026)
   Fact-checking claims that pair text with images, such as miscaptioned photos or fabricated infographics, requires analyzing both modalities.

All works

8 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

1. Automated multilingual detection of Pro-Kremlin propaganda in newspapers and Telegram postsarXiv:2301.10604Veronika Solopova, Oana-Iuliana Popescu, Christoph Benzmuller, et al.2023 · 13 citations
2. From Articles to Premises: Building PrimeFacts, an Extraction Methodology and Resource for Fact-Checking EvidenceLanguage Resources and Evaluation Conference (LREC)Premtim Sahitaj, Jawan Kolanowski, Ariana Sahitaj, et al.2026 · 1 citation
3. Retrieving Climate Change Disinformation by NarrativeWorkshop on Ecology, Environment, and Natural Language ProcessingMax Upravitelev, Veronika Solopova, Charlott Jakob, et al.2026 · 1 citation
4. MisinfoTeleGraph: Network-driven Misinformation Detection for German Telegram Messages ↗Proceedings of the The 9th Workshop on Online Abuse and Harms (WOAH) · no summary yetLu Kalkbrenner et al.2025 · 1 citation
5. Fine-tuning with Hierarchical Prompting for Robust Propaganda Classification Across Annotation SchemasFindings of the Association for Computational LinguisticsLukas Stähelin, Veronika Solopova, Max Upravitelev, et al.2026
6. hermeneutichools at SemEval-2026 Task 4: Multiperspectivity as a Resource for Narrative Similarity PredictionInternational Workshop on Semantic Evaluation (SemEval)Max Upravitelev, Veronika Solopova, Jing Yang, et al.2026
7. Selective Multimodal Retrieval for Automated Verification of Image–Text ClaimsFact Extraction and VERification Workshop (FEVER)Yoana Tsoneva, Paul-Conrad Feig, Jiaao Li, et al.2026
8. Take It All: Ensemble Retrieval for Multimodal Evidence AggregationFact Extraction and VERification Workshop (FEVER)Max Upravitelev, Veronika Solopova, Premtim Sahitaj, et al.2026

🤝 Co-authors here

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

• Vera Schmitt ×6
• Max Upravitelev ×5
• Premtim Sahitaj ×5
• Ariana Sahitaj ×4
• Charlott Jakob ×4
• Sebastian Möller ×4
• Iffat Maab
• Jing Yang
• Junichi Yamagishi

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) ×2: FEVER 2026 ×2
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Language Resources and Evaluation Conference (LREC): LREC 2026
• Workshop on Ecology, Environment, and Natural Language Processing: Workshop on Ecology, Environment, and Natural Language Processing 2026
• International Workshop on Semantic Evaluation (SemEval): SemEval 2026
• Proceedings of the The 9th Workshop on Online Abuse and Harms (WOAH)

🔗 Cited by

Papers of our library cite their works 13 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026

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