Journal of Public Economics, Journal Year: 2025, Volume and Issue: 242, P. 105309 - 105309
Published: Jan. 24, 2025
Language: Английский
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Sept. 16, 2024
Prior research demonstrates that news-related social media posts using negative language are re-posted more, rewarding users who produce content. We investigate whether material from external news sites is also introduced to through more user posts, offering comparable incentives for journalists adopt a tone. Data four US and UK (95,282 articles) two platforms (579,182,075 on Facebook Twitter, now X) show 1.91 times likely share links articles. The impact of negativity varies by site platform and, political articles, moderated topic focus, with showing greater inclination articles referring opposing groups. Additionally, amplifies dissemination extent when accounting the re-sharing containing article links. These findings suggest higher prevalence negatively toned Twitter compared online sites. Further, should respond created heightened sharing platforms, this could even increase exposure those do not use media.
Language: Английский
Citations
8
Social and Personality Psychology Compass, Journal Year: 2024, Volume and Issue: 18(2)
Published: Feb. 1, 2024
Abstract Digital media is ubiquitous in adolescence and young adulthood. These are key developmental periods when people explore who they want to become. However, researchers have yet fully understand digital media's role shaping identity its development. We build on prior work conceptualizing development as a contextually embedded process describe how influences influenced by one's context. propose systematic framework for investigating the relationships between environments (i.e., mediums platforms, which vary according their content affordances) through four mechanisms: selection choosing or avoiding environments), manipulation intentionally altering changing evocation unintentionally eliciting responses from application integrating applying experiences environments). To conclude, we outline future directions research that may clarify unfolds
Language: Английский
Citations
7
Nature, Journal Year: 2024, Volume and Issue: 630(8015), P. 132 - 140
Published: June 5, 2024
Language: Английский
Citations
7
Science, Journal Year: 2023, Volume and Issue: 381(6656), P. 388 - 391
Published: July 27, 2023
Industry-academy collaboration explores the 2020 US election.
Language: Английский
Citations
16
Political Psychology, Journal Year: 2023, Volume and Issue: 45(S1), P. 3 - 42
Published: Dec. 1, 2023
Abstract The twenty‐first century has been one of democratic backsliding. This stimulated wide‐ranging scholarship on the causes erosion. Yet an overarching framework that identifies actors, behaviors, and decision processes not developed. I offer such a structure includes elites (e.g., elected officials, judiciary), societal actors social movements, interest groups, media), citizens. discuss erosive threats stemming from each actor concomitant role psychological mechanisms. highlights challenge arriving at holistic explanation erosion within given country during finite period. It also accentuates why scholars should regularly consider implications their specific findings for stability. conclude by discussing various lessons suggestions how to study
Language: Английский
Citations
14
Climatic Change, Journal Year: 2024, Volume and Issue: 177(1)
Published: Jan. 1, 2024
Language: Английский
Citations
6
Journal Of Big Data, Journal Year: 2024, Volume and Issue: 11(1)
Published: Feb. 24, 2024
Abstract
Social
media
can
be
a
major
accelerator
of
the
spread
misinformation,
thereby
potentially
compromising
both
individual
well-being
and
social
cohesion.
Despite
significant
recent
advances,
study
online
misinformation
is
relatively
young
field
facing
several
(methodological)
challenges.
In
this
regard,
detection
has
proven
difficult,
as
large-scale
data
streams
require
(semi-)automated,
highly
specific
therefore
sophisticated
methods
to
separate
posts
containing
from
irrelevant
posts.
present
paper,
we
introduce
adaptive
community-response
(ACR)
method,
an
unsupervised
technique
for
collection
on
Twitter
(now
known
’X’).
The
ACR
method
based
previous
findings
showing
that
users
occasionally
reply
with
fact-checking
by
referring
sites
(crowdsourced
fact-checking).
first
step,
captured
such
misinforming
but
fact-checked
tweets.
These
tweets
were
used
in
second
step
extract
linguistic
features
(keywords),
enabling
us
collect
also
those
not
at
all
third
step.
We
initially
mathematical
framework
our
followed
explicit
algorithmic
implementation.
then
evaluate
basis
comprehensive
dataset
consisting
$$>25$$
Language: Английский
Citations
4
EPJ Data Science, Journal Year: 2024, Volume and Issue: 13(1)
Published: March 26, 2024
Language: Английский
Citations
4
Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)
Published: Nov. 14, 2024
Existing studies of political polarization are often limited to a single country and one form polarization, hindering comprehensive understanding the phenomenon. Here we investigate patterns online across nine countries (Canada, France, Germany, Italy, Poland, Spain, Turkey, UK, USA), focusing on structure interaction networks, use toxic language targeting out-groups, how these factors relate user engagement. First, show that networks structurally polarized Twitter (currently X). Second, reveal out-group interactions, defined by network, more than in-group indicative affective polarization. Third, interactions receive lower engagement interactions. Finally, identify common ally-enemy in mentions apolitical mentions, highlight between politically engaged accounts rarely reciprocated. These results hold represent step towards stronger cross-country Identifying is important for its root cause. Here, using data from 9 countries, authors mentions.
Language: Английский
Citations
4
PNAS Nexus, Journal Year: 2024, Volume and Issue: 3(12)
Published: Nov. 19, 2024
Abstract Recommendation algorithms profoundly shape users’ attention and information consumption on social media platforms. This study introduces a computational intervention aimed at mitigating two key biases in by influencing the recommendation process. We tackle interest bias, or creating narrow nonnews entertainment diets, ideological directing more strongly partisan users to like-minded content. Employing sock-puppet experiment (n=8,600 sock puppets) alongside month-long randomized involving 2,142 frequent YouTube users, we investigate if nudging algorithm playing videos from verified ideologically balanced news channels background increases recommendations of news. additionally test providing input promotes diverse cross-cutting consumption. find that significantly sustainably both also minimizes consumption, particularly among conservative users. In fact, have stronger effects exposure than has subsequent recommendations. contrast, no observable Increased range survey outcomes (i.e. political participation, belief accuracy, perceived affective polarization, support for democratic norms), adding growing evidence limited attitudinal on-platform exposure. The does not adversely affect user engagement YouTube, showcasing its potential real-world implementation. These findings underscore influence wielded platform recommender
Language: Английский
Citations
4