Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 401

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Social media as public opinion: How journalists use social media to represent public opinion

McGregor, Shannon C·2019·Journalism

Abstract

Public opinion, as necessary a concept it is to the underpinnings of democracy, is a socially constructed representation of the public that is forged by the methods and data from which it is derived, as well as how it is understood by those tasked with evaluating and utilizing it. I examine how social media manifests as public opinion in the news and how these practices shape journalistic routines. I draw from a content analysis of news stories about the 2016 US election, as well as interviews with journalists, to shed light on evolving practices that inform the use of social media to represent public opinion. I find that despite social media users not reflecting the electorate, the press reported online sentiments and trends as a form of public opinion that services the horserace narrative and complements survey polling and vox populi quotes. These practices are woven into professional routines – journalists looked to social media to reflect public opinion, especially in the wake of media events like debates. Journalists worried about an overreliance on social media to inform coverage, especially Dataminr alerts and journalists’ own highly curated Twitter feeds. Hybrid flows of information between journalists, campaigns, and social media companies inform conceptions of public opinion.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/1464884919845458

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 401

Metadata

Authors
McGregor, S. C.
Venue
Journalism
Published
2019-05-09
Volume
20
Issue
8
Pages
1070-1086
ISSN
  • 1464-8849 (ISSN-L)
  • 1741-3001
OpenAlex
W2944605189
Cited by
401
References
2
FWCI
97.89
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Social media as public opinion: How journalists use social media to represent public opinion. https://app.cochat.ai/papers/10.1177/1464884919845458
The paper
McGregor, S. C. (2019). Social media as public opinion: How journalists use social media to represent public opinion. Journalism. https://doi.org/10.1177/1464884919845458

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.