Maria D Molina
Biographic Data
| ID | 3621293 |
|---|---|
| NAME | Maria D Molina |
| GIVEN NAMES | Maria D |
| FAMILY NAME | Molina |
| SIGNATURE | MOLINA M D |
| AFFILIATIONS | Michigan State University |
| ORCID | 0000-0001-8115-6303 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 78 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 6 |
Effects of Technology Use on Self-Reported Physical Activity
Previous research finds initial evidence that affordances of interactivity, agency, and modality can help increase physical activity (PA). However, the cross-sectional nature of these studies provides a snapshot of behavior but does not assess the impact of affordances of technology on change in PA behavior. In this study, we bridge this gap and test if features of technology that afford interactivity, agency, and choice of modality will be assoc…
Reading, Commenting and Sharing of Fake News
Do social media users read, comment, and share false news more than real news? Does it matter if the story is written by a bot and whether it is endorsed by many others? We conducted a selective-exposure experiment ( N = 171) to answer these questions. Results showed that real articles were more likely to receive “likes” whereas false articles were more likely to receive comments. Users commented more on a bot-written article when it received few…
Do people believe in misleading information disseminated via memes? The role of identity and anger
Do people believe in misleading information disseminated via contemporary Internet memes? Do they believe in it more compared with information provided via text? This research explores these questions via a 3 (modality: contemporary internet meme vs text-only vs text-with-explanation) × 2 (identity-congruence: congruent vs incongruent) between-subject online experiment, using two contexts of investigation (crime and taxes). Findings indicate that…
Does distrust in humans predict greater trust in AI? Role of individual differences in user responses to content moderation
When evaluating automated systems, some users apply the “positive machine heuristic” (i.e. machines are more accurate and precise than humans), whereas others apply the “negative machine heuristic” (i.e. machines lack the ability to make nuanced subjective judgments), but we do not know much about the characteristics that predict whether a user would apply the positive or negative machine heuristic. We conducted a study in the context of content …
When AI moderates online content
Given the scale of user-generated content online, the use of artificial intelligence (AI) to flag problematic posts is inevitable, but users do not trust such automated moderation of content. We explore if (a) involving human moderators in the curation process and (b) affording “interactive transparency,” wherein users participate in curation, can promote appropriate reliance on AI. We test this through a 3 (Source: AI, Human, Both) × 3 (Transpar…
Seeing Is Believing
False rumors on WhatsApp, the world’s largest messaging app, have led to mob lynching in India and other countries. Doctored videos sent over the platform have elicited visceral responses among users, resulting in the wrongful death of innocent people. Would the responses have been so strong if the false news were circulated in text or audio? Is video modality the reason for such powerful effects? We explored this question by comparing reactions …
"Fake News" Is Not Simply False Information
As the scourge of "fake news" continues to plague our information environment, attention has turned toward devising automated solutions for detecting problematic online content. But, in order to build reliable algorithms for flagging "fake news," we will need to go beyond broad definitions of the concept and identify distinguishing features that are specific enough for machine learning. With this objective in mind, we conducted an explication of …
When expert recommendation contradicts peer opinion
The dark side of technology
Impact of Customizability Technology on Political Polarization
We examined effects of customizability technology (also known as tailoring or personalization) on political selective exposure and political attitude polarization. Our experiment showed that selective exposure mediated the relationship between customizability technology presence and political attitude polarization. We also found that user-driven customizability (technology that enables users to modify their information environment) weakened the r…
Seeing Is Believing
False rumors on WhatsApp, the world’s largest messaging app, have led to mob lynching in India and other countries. Doctored videos sent over the platform have elicited visceral responses among users, resulting in the wrongful death of innocent people. Would the responses have been so strong if the false news were circulated in text or audio? Is video modality the reason for such powerful effects? We explored this question by comparing reactions …
"Fake News" Is Not Simply False Information
As the scourge of "fake news" continues to plague our information environment, attention has turned toward devising automated solutions for detecting problematic online content. But, in order to build reliable algorithms for flagging "fake news," we will need to go beyond broad definitions of the concept and identify distinguishing features that are specific enough for machine learning. With this objective in mind, we conducted an explication of …
When AI moderates online content
Given the scale of user-generated content online, the use of artificial intelligence (AI) to flag problematic posts is inevitable, but users do not trust such automated moderation of content. We explore if (a) involving human moderators in the curation process and (b) affording “interactive transparency,” wherein users participate in curation, can promote appropriate reliance on AI. We test this through a 3 (Source: AI, Human, Both) × 3 (Transpar…
Do people believe in misleading information disseminated via memes? The role of identity and anger
Do people believe in misleading information disseminated via contemporary Internet memes? Do they believe in it more compared with information provided via text? This research explores these questions via a 3 (modality: contemporary internet meme vs text-only vs text-with-explanation) × 2 (identity-congruence: congruent vs incongruent) between-subject online experiment, using two contexts of investigation (crime and taxes). Findings indicate that…
When expert recommendation contradicts peer opinion
Does distrust in humans predict greater trust in AI? Role of individual differences in user responses to content moderation
When evaluating automated systems, some users apply the “positive machine heuristic” (i.e. machines are more accurate and precise than humans), whereas others apply the “negative machine heuristic” (i.e. machines lack the ability to make nuanced subjective judgments), but we do not know much about the characteristics that predict whether a user would apply the positive or negative machine heuristic. We conducted a study in the context of content …
Impact of Customizability Technology on Political Polarization
We examined effects of customizability technology (also known as tailoring or personalization) on political selective exposure and political attitude polarization. Our experiment showed that selective exposure mediated the relationship between customizability technology presence and political attitude polarization. We also found that user-driven customizability (technology that enables users to modify their information environment) weakened the r…
The dark side of technology
Impact of Customizability Technology on Political Polarization
We examined effects of customizability technology (also known as tailoring or personalization) on political selective exposure and political attitude polarization. Our experiment showed that selective exposure mediated the relationship between customizability technology presence and political attitude polarization. We also found that user-driven customizability (technology that enables users to modify their information environment) weakened the r…
When expert recommendation contradicts peer opinion
Seeing Is Believing
False rumors on WhatsApp, the world’s largest messaging app, have led to mob lynching in India and other countries. Doctored videos sent over the platform have elicited visceral responses among users, resulting in the wrongful death of innocent people. Would the responses have been so strong if the false news were circulated in text or audio? Is video modality the reason for such powerful effects? We explored this question by comparing reactions …
"Fake News" Is Not Simply False Information
As the scourge of "fake news" continues to plague our information environment, attention has turned toward devising automated solutions for detecting problematic online content. But, in order to build reliable algorithms for flagging "fake news," we will need to go beyond broad definitions of the concept and identify distinguishing features that are specific enough for machine learning. With this objective in mind, we conducted an explication of …
Does distrust in humans predict greater trust in AI? Role of individual differences in user responses to content moderation
When evaluating automated systems, some users apply the “positive machine heuristic” (i.e. machines are more accurate and precise than humans), whereas others apply the “negative machine heuristic” (i.e. machines lack the ability to make nuanced subjective judgments), but we do not know much about the characteristics that predict whether a user would apply the positive or negative machine heuristic. We conducted a study in the context of content …
When AI moderates online content
Given the scale of user-generated content online, the use of artificial intelligence (AI) to flag problematic posts is inevitable, but users do not trust such automated moderation of content. We explore if (a) involving human moderators in the curation process and (b) affording “interactive transparency,” wherein users participate in curation, can promote appropriate reliance on AI. We test this through a 3 (Source: AI, Human, Both) × 3 (Transpar…
Reading, Commenting and Sharing of Fake News
Do social media users read, comment, and share false news more than real news? Does it matter if the story is written by a bot and whether it is endorsed by many others? We conducted a selective-exposure experiment ( N = 171) to answer these questions. Results showed that real articles were more likely to receive “likes” whereas false articles were more likely to receive comments. Users commented more on a bot-written article when it received few…
Do people believe in misleading information disseminated via memes? The role of identity and anger
Do people believe in misleading information disseminated via contemporary Internet memes? Do they believe in it more compared with information provided via text? This research explores these questions via a 3 (modality: contemporary internet meme vs text-only vs text-with-explanation) × 2 (identity-congruence: congruent vs incongruent) between-subject online experiment, using two contexts of investigation (crime and taxes). Findings indicate that…
Effects of Technology Use on Self-Reported Physical Activity
Previous research finds initial evidence that affordances of interactivity, agency, and modality can help increase physical activity (PA). However, the cross-sectional nature of these studies provides a snapshot of behavior but does not assess the impact of affordances of technology on change in PA behavior. In this study, we bridge this gap and test if features of technology that afford interactivity, agency, and choice of modality will be assoc…
Computer Science (10 works) · Psychology (8 works) · Social Psychology (7 works) · World Wide Web (7 works) · Hate Speech and Cyberbullying Detection (6 works) · Internet privacy (5 works) · Misinformation and Its Impacts (5 works) · Social Media and Politics (4 works) · Sociology (4 works) · Computer security (3 works)