Philipp Knöpfle
Biographic Data
| ID | 9436609 |
|---|---|
| NAME | Philipp Knöpfle |
| GIVEN NAMES | Philipp |
| FAMILY NAME | Knöpfle |
| SIGNATURE | KNÖPFLE P |
| AFFILIATIONS | Ludwig-Maximilians-Universität München |
| ORCID | 0000-0003-3575-1229 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Let’s talk about language—and its role for replicability
Science strives towards a credible and comprehensive understanding of the world around us. Across disciplines within the social and behavioural sciences (and beyond), limitations in the implementation of the scientific approach have been identified in recent studies, showing low replicability of many results. This is an issue for knowledge accumulation, theory-building, and evidence-based decision and policy making. Researchers have proposed seve…
Contextual Changes, Credible Conclusions? A Direct and Conceptual Replication of Shen et al.'s (2019) Study on Online Image Credibility
Alarmingly low replication rates have been highlighted across disciplines. In communication science, rates are unknown but replications have some tradition. However, due to the field’s need to adapt to rapidly changing research contexts, replications have largely been conceptual rather than direct. We conduct two in-depth replications to systematically evaluate both forms. For that, we consider online information credibility as rapidly changing r…
The Challenges of Replicating Volatile Platform-Data Studies
Replication studies in computational communication science (CCS) play a vital role in upholding research validity, ensuring reliability, and promoting transparency. However, conducting such studies in CCS often proves challenging due to the data environments’ dynamic nature and the complexities surrounding data and software sharing. To shed light on these challenges, we examine the replication process with CCS studies by computationally reproduci…
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The Challenges of Replicating Volatile Platform-Data Studies
Replication studies in computational communication science (CCS) play a vital role in upholding research validity, ensuring reliability, and promoting transparency. However, conducting such studies in CCS often proves challenging due to the data environments’ dynamic nature and the complexities surrounding data and software sharing. To shed light on these challenges, we examine the replication process with CCS studies by computationally reproduci…
Let’s talk about language—and its role for replicability
Science strives towards a credible and comprehensive understanding of the world around us. Across disciplines within the social and behavioural sciences (and beyond), limitations in the implementation of the scientific approach have been identified in recent studies, showing low replicability of many results. This is an issue for knowledge accumulation, theory-building, and evidence-based decision and policy making. Researchers have proposed seve…
Contextual Changes, Credible Conclusions? A Direct and Conceptual Replication of Shen et al.'s (2019) Study on Online Image Credibility
Alarmingly low replication rates have been highlighted across disciplines. In communication science, rates are unknown but replications have some tradition. However, due to the field’s need to adapt to rapidly changing research contexts, replications have largely been conceptual rather than direct. We conduct two in-depth replications to systematically evaluate both forms. For that, we consider online information credibility as rapidly changing r…
Computer Science (2 works) · Child and Animal Learning Development (1 work) · Computational and Text Analysis Methods (1 work) · Conceptual framework (1 work) · Conceptual model (1 work) · Credibility (1 work) · Data science (1 work) · Data-Driven Disease Surveillance (1 work) · Language and cultural evolution (1 work) · Linguistics (1 work)