Following the 2016 U.S. presidential election, many have expressed concern about the effects of false stories (“fake news”), circulated largely through social media. We discuss the economics of fake news and present new data on its consumption prior to the election. Drawing on web browsing data, archives of fact-checking websites, and results from a new online survey, we find: (i) social media was an important but not dominant source of election news, with 14 percent of Americans calling social media their “most important” source; (ii) of the known false news stories that appeared in the three months before the election, those favoring Trump were shared a total of 30 million times on Facebook, while those favoring Clinton were shared 8 million times; (iii) the average American adult saw on the order of one or perhaps several fake news stories in the months around the election, with just over half of those who recalled seeing them believing them; and (iv) people are much more likely to believe stories that favor their preferred candidate, especially if they have ideologically segregated social media networks.

/pdf/social-media-and-fake-news-in-the-2016-election-1m4ttkb5mo.pdf

Social Media and Fake News in the 2016 Election

Originally published in Contemporary Psychology: APA Review of Books, 1994, Vol 39(2), 225. Reviews the book, The Nature and Origins of Mass Opinion by John Zaller (1992). The author's commendable effort to specify a model of mass opinion formation offers readers an introduction to the prevailing vi

The Nature and Origins of Mass Opinion.

Thank you for reading experimental and quasi experimental designs for research. Maybe you have knowledge that, people have search numerous times for their favorite readings like this experimental and quasi experimental designs for research, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they cope with some infectious virus inside their laptop.

Experimental And Quasi Experimental Designs For Research

The Righteous Mind: Why Good People Are Divided by Politics and Religion Jonathan Haidt Pantheon Books, 2012One has likely heard that, for the sake of decorum, religion and politics should never be topics of conversation with strangers. Even amongst friends or even when it is known that others hold opposing political or religious views, why is it that discussion of religion and politics leads to visceral-level acrimony and that one's views are right and the other's views are wrong? Professor Jonathan Haidt of the University of Virginia examines the psychological basis of our "righteous minds" without resorting to any of the pejorative labeling that is usually found in a book on politics and religion and eschews a purely comparative approach. Haidt proposes the intriguing hypothesis that our visceral reaction to competing ideologies is a subconscious, rather than leaned, reaction that evolved over human evolution to innate senses of suffering, fairness, cheating and disease, and that moral foundations facilitated intra-group cooperation which in turn conferred survival advantages over other groups. These psychological mechanisms are genetic in origin and not necessarily amenable to rational and voluntary control - this is in part the reason debating one's ideological opposite more often leads to frustration rather than understanding. Haidt also suggests that morality is based on six "psychological systems" or foundations (Moral Foundations Theory), similar to the hypothesized adaptive mental modules which evolved to solve specific problems of survival in the human ancestral environment.While decorum pleads for more civility, it would be better, as Haidt suggests, dragging the issue of partisan politics out into the open in order to understand it and work around our righteous minds. Haidt suggests a few methods by which the level of rhetoric in American politics can be reduced, such that the political parties can at least be cordial as they have been in the past and work together to solve truly pressing social problems.There are a number of fascinating points raised in the current book, but most intriguing is the one that morality, ideology and religion are products of group selection, as adaptations that increased individual cooperation and suppressed selfishness, thereby increasing individual loyalty to the group. That morality, political ideology and religion buttress group survival is probably highly intuitive. However, given the contemporary focus on the individual as the source of adaptations, to the exclusion of all else, to suggest that adaptations such as religion and political ideology arose to enhance survival of groups is heresy or, as Haidt recounts, "foolishness". While previous rejection of group selection itself was due in part to conceptual issues, one could also point out the prevailing individualist social sentiment, "selfish gene" mentality and unrelenting hostility against those who supported the view that group selection did indeed apply to humans and not just to insects. Haidt gives a lengthy and convincing defense of group selection, his main point being that humans can pursue self- interest at the same time they promote self-interest within a group setting - humans are "90 percent chimp, 10 percent bees". One can readily observe in the news and entertainment mediate that religion is a frequent target of derision, even within the scientific community - Haidt points to the strident contempt that the "New Atheists" hold for religion. They claim that religion is purely a by-product of an adaptive psychological trait and as a mere by-product religion serves no useful purpose. However, the religious "sense" has somehow managed to persist in the human psyche. One explanation by the New Atheists of how religion propagated itself is that it is a "parasite" or "virus" which latches onto a susceptible host and induces the host to "infect" others. As a "virus" or "parasite" that is merely interested in its own survival, religion causes people to perform behaviors that do not increase their own reproductive fitness and may even be detrimental to survival, but religion spreads nonetheless. …

The Righteous Mind: Why Good People Are Divided by Politics and Religion

Participant attentiveness is a concern for many researchers using Amazon’s Mechanical Turk (MTurk). Although studies comparing the attentiveness of participants on MTurk versus traditional subject pool samples have provided mixed support for this concern, attention check questions and other methods of ensuring participant attention have become prolific in MTurk studies. Because MTurk is a population that learns, we hypothesized that MTurkers would be more attentive to instructions than are traditional subject pool samples. In three online studies, participants from MTurk and collegiate populations participated in a task that included a measure of attentiveness to instructions (an instructional manipulation check: IMC). In all studies, MTurkers were more attentive to the instructions than were college students, even on novel IMCs (Studies 2 and 3), and MTurkers showed larger effects in response to a minute text manipulation. These results have implications for the sustainable use of MTurk samples for social science research and for the conclusions drawn from research with MTurk and college subject pool samples.

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Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants

Amazon’s Mechanical Turk (MTurk) is an increasingly popular tool for the recruitment of research subjects. While there has been much focus on the demographic differences between MTurk samples and t...

/pdf/are-samples-drawn-from-mechanical-turk-valid-for-research-on-3fynlwv62q.pdf

Are samples drawn from Mechanical Turk valid for research on political ideology

Validity and Mechanical Turk

Amazon’s Mechanical Turk (MTurk) is widely used to collect affordable and high-quality survey responses. However, researchers recently noticed a substantial decline in data quality, sending shockwaves throughout the social sciences. The problem seems to stem from the use of Virtual Private Servers (VPSs) by respondents outside the U.S. to fool MTurk’s filtering system, but we know relatively little about the cause and consequence of this form of fraud. Analyzing 38 studies conducted on MTurk, we demonstrate that this problem is not new - we find a similar spike in VPS use in 2015. Utilizing two new studies, we show that data from these respondents is of substantially worse quality. Next, we provide two solutions for this problem using an API for an IP traceback application (IP Hub). We provide both a post-hoc method for identifying fraudulent respondents using an original R package (“rIP”) and an associated online application, and an a priori method using JavaScript and PHP code in Qualtrics to block fraudulent respondents from participating. We demonstrate the effectiveness of the screening procedure in a third study. Overall, our results suggest that fraudulent respondents pose a serious threat to data quality but can be easily identified and screened out.

The Shape of and Solutions to the MTurk Quality Crisis

Amazon's Mechanical Turk is widely used for data collection; however, data quality may be declining due to the use of virtual private servers to fraudulently gain access to studies. Unfortunately, we know little about the scale and consequence of this fraud, and tools for social scientists to detect and prevent this fraud are underdeveloped. We first analyze 38 studies and show that this fraud is not new, but has increased recently. We then show that these fraudulent respondents provide particularly low-quality data and can weaken treatment effects. Finally, we provide two solutions: an easy-to-use application for identifying fraud in the existing datasets and a method for blocking fraudulent respondents in Qualtrics surveys.

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The shape of and solutions to the MTurk quality crisis

Research on the emotional, cognitive, and social determinants of moral judgment has surged in recent years. The development of moral foundations theory (MFT) has played an important role, demonstrating the breadth of morality. Moral psychology has responded by investigating how different domains of moral judgment are shaped by a variety of psychological factors. Yet, the discipline lacks a validated set of moral violations that span the moral domain, creating a barrier to investigating influences on judgment and how their neural bases might vary across the moral domain. In this paper, we aim to fill this gap by developing and validating a large set of moral foundations vignettes (MFVs). Each vignette depicts a behavior violating a particular moral foundation and not others. The vignettes are controlled on many dimensions including syntactic structure and complexity making them suitable for neuroimaging research. We demonstrate the validity of our vignettes by examining respondents’ classifications of moral violations, conducting exploratory and confirmatory factor analysis, and demonstrating the correspondence between the extracted factors and existing measures of the moral foundations. We expect that the MFVs will be beneficial for a wide variety of behavioral and neuroimaging investigations of moral cognition.

/pdf/moral-foundations-vignettes-a-standardized-stimulus-database-3rqz235q8v.pdf

Scott Clifford

Papers

Are samples drawn from Mechanical Turk valid for research on political ideology

Validity and Mechanical Turk

The Shape of and Solutions to the MTurk Quality Crisis

The shape of and solutions to the MTurk quality crisis

Moral foundations vignettes: a standardized stimulus database of scenarios based on moral foundations theory