Haiko Lietz

Studying Politics Across Media · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Haiko Lietz trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jonathan Mellon
2. Justin Grimmer

Papers from Haiko Lietz's perspective

Ordered by how strongly the researchers Haiko Lietz trusts endorse each paper. Same corpus, a different order for every researcher.

1. Pattern Recognition and Machine Learning
2. Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts
3. Who says what to whom on twitter
4. Online and Social
5. Online and Social Media Data As an Imperfect Continuous Panel Survey
6. The power of prediction with social media
7. The Dynamics of Public Attention: Agenda‐Setting Theory Meets Big Data
8. Internet Search Data and Issue Salience: The Properties of Google Trends as a Measure of Issue Salience
9. A dirichlet multinomial mixture model-based approach for short text clustering (Knowledge Discovery and Data Mining)
10. Latent Dirichlet Allocation

Their papers

• Election Campaigning on Social Media: Politicians, Audiences, and the Mediation of Political Communication on Facebook and Twitter (2018) — 512 citations