How social influence can undermine the wisdom of crowd effect
By Jan Lorenz, Heiko Rauhut, Frank Schweitzer, Dirk Helbing. 2011
995 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Safety Research, Statistical and Nonlinear Physics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Filippo Menczer
- Tad Hogg
- David García
- Paulo B. Góes
- Dashun Wang
- Alessandro Flammini
- Kristina Lerman
- Ching-man Au Yeung
In Safety Research
- Tad Hogg
- Kristina Lerman
- Gerardo Berbeglia
- Andrés Abeliuk
- Pascal Van Hentenryck
- Manuel Cebrián
- Hansjörg Neth
- Mehdi Moussaïd
In Statistical and Nonlinear Physics
- Kristina Lerman
- Filippo Menczer
- Alessandro Flammini
- Tad Hogg
- Joshua Aaron Becker
- Devon Brackbill
- Gerardo Berbeglia
- Andrés Abeliuk
Citations in the corpus
- Leveraging Position Bias to Improve Peer Recommendation (2014, background): “We experimentally evaluate the effect of position bias, in contrast to previous studies of social influence [2,3,5,16].”
- Debiasing social wisdom (2013, background): “[17] study how social influence can undermine the wisdom of a crowd for a variety of estimation tasks.”
- Using the Delphi expert consensus method in mental health research (2015, background): “There is some evidence that feedback on the group average when making estimates can undermine the ‘wisdom of crowds’ effect (Lorenz et al., 2011).”
- Network dynamics of social influence in the wisdom of crowds (2017, background): “Our analyses indicate that recent small-group studies arguing that social influence undermines the wisdom of crowds (even in a decentralized network) (13) were insufficiently statistically powered to identify the improvements in collective accuracy that we found (SI Appendix, Fig.”
- "Popularity Effect" in User-Generated Content: Evidence from Online Product Reviews (2014, background): “Recently, lab studies (Lorenz et al., 2011) show that social interactions and social influence can in fact undermine this " wisdom of crowd " effect.”
- The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy (2014, background): “Following from our hypothesis on the role of social interactions, a key issue is characterizing the effect of social influence [10,11] in the price variations.”
- The Benefits of Social Influence in Optimized Cultural Markets (2015, result): “Our results continue to hold when the perceived quality of a song is affected by social influence [22–24], e.”
- Limited individual attention and online virality of low-quality information (2017, background): “But when people communicate, their opinions are no longer independent, leading to higher confidence and lower accuracy [38].”
- Social Influence and the Collective Dynamics of Opinion Formation (2013, background): “In other disciplines such as psychology and cognitive science, laboratory experiments have been conducted to study how people integrate feedback from other individuals to revise their initial answers to factual questions [6,29,30].”
- Disentangling the Effects of Social Signals (2014, background): “, through ranking) and explicit (through social signals) information about others’ preferences together affect people’s decision-making processes, an interaction not resolved by previous experimental studies (Salganik et al., 2006; Lorenz et al., 2011; Muchnik et al., 2013).”