OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Content Analysis by the Crowd: Assessing the Usability of Crowdsourcing for Coding Latent Constructs
Fabienne Lind, Maria Gruber, Hajo G. Boomgaarden
Communication Methods and Measures (2017) Vol. 11, Iss. 3, pp. 191-209
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

The Validity of Sentiment Analysis: Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms
Wouter van Atteveldt, Mariken Anna Catharina Geertruida van der Velden, Mark Boukes
Communication Methods and Measures (2021) Vol. 15, Iss. 2, pp. 121-140
Open Access | Times Cited: 266

More than Bags of Words: Sentiment Analysis with Word Embeddings
Elena Rudkowsky, Martin Haselmayer, Matthias Wastian, et al.
Communication Methods and Measures (2018) Vol. 12, Iss. 2-3, pp. 140-157
Open Access | Times Cited: 186

Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings
Han-Chin Shing, Suraj Nair, Ayah Zirikly, et al.
(2018)
Open Access | Times Cited: 182

Politicians in the line of fire: Incivility and the treatment of women on social media
Ludovic Rheault, Erica Rayment, Andreea Musulan
Research & Politics (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 180

The extended Moral Foundations Dictionary (eMFD): Development and applications of a crowd-sourced approach to extracting moral intuitions from text
Frederic R. Hopp, Jacob T. Fisher, Devin Cornell, et al.
Behavior Research Methods (2020) Vol. 53, Iss. 1, pp. 232-246
Open Access | Times Cited: 136

In Validations We Trust? The Impact of Imperfect Human Annotations as a Gold Standard on the Quality of Validation of Automated Content Analysis
Hyunjin Song, Petro Tolochko, Jakob‐Moritz Eberl, et al.
Political Communication (2020) Vol. 37, Iss. 4, pp. 550-572
Open Access | Times Cited: 87

Citizens as Complicits: Distrust in Politicians and Biased Social Dissemination of Political Information
Troels Bøggild, Lene Aarøe, Michael Bang Petersen
American Political Science Review (2020) Vol. 115, Iss. 1, pp. 269-285
Open Access | Times Cited: 76

Not Just Asking Questions: Effects of Implicit and Explicit Conspiracy Information About Vaccines and Genetic Modification
Benjamin Lyons, Vittorio Mérola, Jason Reifler
Health Communication (2018) Vol. 34, Iss. 14, pp. 1741-1750
Open Access | Times Cited: 68

What kind of populism? Tone and targets in the Twitter discourse of French and American presidential candidates
Peter Maurer, Trevor Diehl
European Journal of Communication (2020) Vol. 35, Iss. 5, pp. 453-468
Open Access | Times Cited: 55

Uncovering hidden opinions: social norms and the expression of xenophobic attitudes
Amalia Álvarez-Benjumea
European Sociological Review (2022) Vol. 39, Iss. 3, pp. 449-463
Open Access | Times Cited: 30

Extracting Latent Moral Information from Text Narratives: Relevance, Challenges, and Solutions
René Weber, J. Michael Mangus, Richard Huskey, et al.
Communication Methods and Measures (2018) Vol. 12, Iss. 2-3, pp. 119-139
Closed Access | Times Cited: 58

Uncharted Territory in Research on Environmental Advertising: Toward an Organizing Framework
Jörg Matthes
Journal of Advertising (2019) Vol. 48, Iss. 1, pp. 91-101
Open Access | Times Cited: 41

Towards Understanding and Supporting Journalistic Practices Using Semi-Automated News Discovery Tools
Nicholas Diakopoulos, Daniel Trielli, Grace Lee
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW2, pp. 1-30
Closed Access | Times Cited: 26

Political Discussion is Abundant in Non-political Subreddits (and Less Toxic)
Ashwin Rajadesingan, Ceren Budak, Paul Resnick
Proceedings of the International AAAI Conference on Web and Social Media (2021) Vol. 15, pp. 525-536
Open Access | Times Cited: 25

Hark: A Deep Learning System for Navigating Privacy Feedback at Scale
Hamza Harkous, Sai Teja Peddinti, Rishabh Khandelwal, et al.
2022 IEEE Symposium on Security and Privacy (SP) (2022), pp. 2469-2486
Closed Access | Times Cited: 18

Reflections on extracting moral foundations from media content
Frederic R. Hopp, René Weber
Communication Monographs (2021) Vol. 88, Iss. 3, pp. 371-379
Closed Access | Times Cited: 16

Accurate, Fast, But Not Always Cheap: Evaluating “Crowdcoding” as an Alternative Approach to Analyze Social Media Data
Лэй Гуо, Kate K. Mays, Sha Lai, et al.
Journalism & Mass Communication Quarterly (2019) Vol. 97, Iss. 3, pp. 811-834
Open Access | Times Cited: 18

Degrees of Disrespect: How Only Extreme and Rare Incivility Alienates the Base
Rasmus Skytte
The Journal of Politics (2021) Vol. 84, Iss. 3, pp. 1746-1759
Closed Access | Times Cited: 15

Editorial: using smartphones to collect linguistic data
Nanna Haug Hilton, Adrian Leemann
Linguistics Vanguard (2021) Vol. 7, Iss. s1
Open Access | Times Cited: 13

Categorizing political campaign messages on social media using supervised machine learning
Jennifer Stromer‐Galley, Patrícia Rossini
Journal of Information Technology & Politics (2023), pp. 1-14
Closed Access | Times Cited: 5

Can the online crowd match real expert judgments? How task complexity and coder location affect the validity of crowd‐coded data
Alexander Horn
European Journal of Political Research (2018) Vol. 58, Iss. 1, pp. 236-247
Open Access | Times Cited: 15

Toward Effective Automated Content Analysis via Crowdsourcing
Jiele Wu, Chau-Wai Wong, Xinyan Zhao, et al.
2022 IEEE International Conference on Multimedia and Expo (ICME) (2021), pp. 1-6
Open Access | Times Cited: 12

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