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Lazard AJ, Nicolla S, Vereen RN, Pendleton S, Charlot M, Tan HJ, DiFranzo D, Pulido M, Dasgupta N. Exposure and Reactions to Cancer Treatment Misinformation and Advice: Survey Study. JMIR Cancer 2023; 9:e43749. [PMID: 37505790 PMCID: PMC10422174 DOI: 10.2196/43749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 04/28/2023] [Accepted: 05/23/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND Cancer treatment misinformation, or false claims about alternative cures, often spreads faster and farther than true information on social media. Cancer treatment misinformation can harm the psychosocial and physical health of individuals with cancer and their cancer care networks by causing distress and encouraging people to abandon support, potentially leading to deviations from evidence-based care. There is a pressing need to understand how cancer treatment misinformation is shared and uncover ways to reduce misinformation. OBJECTIVE We aimed to better understand exposure and reactions to cancer treatment misinformation, including the willingness of study participants to prosocially intervene and their intentions to share Instagram posts with cancer treatment misinformation. METHODS We conducted a survey on cancer treatment misinformation among US adults in December 2021. Participants reported their exposure and reactions to cancer treatment misinformation generally (saw or heard, source, type of advice, and curiosity) and specifically on social media (platform, believability). Participants were then randomly assigned to view 1 of 3 cancer treatment misinformation posts or an information post and asked to report their willingness to prosocially intervene and their intentions to share. RESULTS Among US adult participants (N=603; mean age 46, SD 18.83 years), including those with cancer and cancer caregivers, almost 1 in 4 (142/603, 23.5%) received advice about alternative ways to treat or cure cancer. Advice was primarily shared through family (39.4%) and friends (37.3%) for digestive (30.3%) and natural (14.1%) alternative cancer treatments, which generated curiosity among most recipients (106/142, 74.6%). More than half of participants (337/603, 55.9%) saw any cancer treatment misinformation on social media, with significantly higher exposure for those with cancer (53/109, 70.6%) than for those without cancer (89/494, 52.6%; P<.001). Participants saw cancer misinformation on Facebook (39.8%), YouTube (27%), Instagram (22.1%), and TikTok (14.1%), among other platforms. Participants (429/603, 71.1%) thought cancer treatment misinformation was true, at least sometimes, on social media. More than half (357/603, 59.2%) were likely to share any cancer misinformation posts shown. Many participants (412/603, 68.3%) were willing to prosocially intervene for any cancer misinformation posts, including flagging the cancer treatment misinformation posts as false (49.7%-51.4%) or reporting them to the platform (48.1%-51.4%). Among the participants, individuals with cancer and those who identified as Black or Hispanic reported greater willingness to intervene to reduce cancer misinformation but also higher intentions to share misinformation. CONCLUSIONS Cancer treatment misinformation reaches US adults through social media, including on widely used platforms for support. Many believe that social media posts about alternative cancer treatment are true at least some of the time. The willingness of US adults, including those with cancer and members of susceptible populations, to prosocially intervene could initiate the necessary community action to reduce cancer treatment misinformation if coupled with strategies to help individuals discern false claims.
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Affiliation(s)
- Allison J Lazard
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Sydney Nicolla
- Hussman School of Journalism and Media, University of North Carolina at Chapel Hll, Chapel Hill, NC, United States
| | - Rhyan N Vereen
- Hussman School of Journalism and Media, University of North Carolina at Chapel Hll, Chapel Hill, NC, United States
| | - Shanetta Pendleton
- Hussman School of Journalism and Media, University of North Carolina at Chapel Hll, Chapel Hill, NC, United States
| | - Marjory Charlot
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Medicine, Division of Oncology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Hung-Jui Tan
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Urology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Dominic DiFranzo
- P.C. Rossin College of Engineering and Applied Science, Lehigh University, Bethlehem, PA, United States
| | - Marlyn Pulido
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Nabarun Dasgupta
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Injury Prevention Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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Nian F, Qian Y, Yao Y. Identification of Potential Cooperation Relationships Among Scientists. Big Data 2023; 11:87-104. [PMID: 36084020 DOI: 10.1089/big.2021.0398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
In this article, the phenomenon of scientist cooperation in the scientist cooperation network is studied from the perspectives of information spread and link prediction. By mining the information in the scientist cooperation network, analyzing the cooperation has been generated and discovering potential cooperation opportunities. It helps to build a richer cooperation network with more content. Information spread can reflect the inner laws of network structure formation, and the link prediction method can retain the integrity of network information to the maximum extent. First, the real network is abstracted by analyzing its structure as well as node attributes into a simulated network. Second, the process of information spread in the cooperation network is simulated by improving the traditional SIS model. Some improvements are made to the link prediction algorithm for the impact brought to the network by information spread. Finally, the experimental results in the scientist cooperation network show that the hybrid weighted link prediction algorithm combining node attributes and spread factors can improve the accuracy of link prediction and provide suggestions for scientists to find partners. The comparative experiments on simulated and real networks not only validate the effectiveness of the propagation model in the scientist cooperation network, but also verify the accuracy of the hybrid weighted link prediction algorithm.
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Affiliation(s)
- Fuzhong Nian
- School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China
| | - Yinuo Qian
- School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China
| | - Yabing Yao
- School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China
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Jovanović R, Davidović M, Lazović I, Jovanović M, Jovašević-Stojanović M. Modelling Voluntary General Population Vaccination Strategies during COVID-19 Outbreak: Influence of Disease Prevalence. Int J Environ Res Public Health 2021; 18:ijerph18126217. [PMID: 34201285 PMCID: PMC8229990 DOI: 10.3390/ijerph18126217] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 05/27/2021] [Accepted: 06/01/2021] [Indexed: 12/15/2022]
Abstract
A novel statistical model based on a two-layer, contact and information, graph is suggested in order to study the influence of disease prevalence on voluntary general population vaccination during the COVID-19 outbreak. Details about the structure and number of susceptible, infectious, and recovered/vaccinated individuals from the contact layer are simultaneously transferred to the information layer. The ever-growing wealth of information that is becoming available about the COVID virus was modelled at each individual level by a simplified proxy predictor of the amount of disease spread. Each informed individual, a node in a heterogeneous graph, makes a decision about vaccination “motivated” by their benefit. The obtained results showed that disease information type, global or local, has a significant impact on an individual vaccination decision. A number of different scenarios were investigated. The scenarios showed that in the case of the stronger impact of globally broadcasted disease information, individuals tend to vaccinate in larger numbers at the same time when the infection has already spread within the population. If individuals make vaccination decisions based on locally available information, the vaccination rate is uniformly spread during infection outbreak duration. Prioritising elderly population vaccination leads to an increased number of infected cases and a higher reduction in mortality. The developed model accuracy allows the precise targeting of vaccination order depending on the individuals’ number of social contacts. Precisely targeted vaccination, combined with pre-existing immunity, and public health measures can limit the infection to isolated hotspots inside the population, as well as significantly delay and lower the infection peak.
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Tóth Z, Jaloveczki B. Tutors do not facilitate rapid resource exploitation in temporary tadpole aggregations. R Soc Open Sci 2021; 8:202288. [PMID: 34040788 PMCID: PMC8113892 DOI: 10.1098/rsos.202288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 04/07/2021] [Indexed: 06/12/2023]
Abstract
The utilization of social cues is usually considered an important adaptation to living in social groups, but recent evidence suggests that social information use may be more prevalent in the animal kingdom than previously thought. However, it is debated whether such information can efficiently diffuse in temporary aggregations of non-grouping individuals where social cohesion does not facilitate information transmission. Here, we provide experimental evidence that a simple social cue, the movement of conspecifics in a structured environment affected individuals' spatial decisions in common frog (Rana temporaria) tadpoles and thereby facilitated the discovery rate of a novel food patch. However, this was true only in those tadpole collectives that consisted solely of untutored individuals. In those collectives where tutors with prior experience with the presented food type were also present, this social effect was negligible most probably due to the difference in activity between naive and tutor individuals. We also showed that the proportion of tadpoles that discovered the food patch was higher in the control than in the tutored collectives, while the proportion of feeding tadpoles was only marginally higher in the latter collectives. Our findings indicate that social information use can influence resource acquisition in temporary aggregations of non-grouping animals, but individual differences in satiety may hinder effective information spread associated with exploitable food patches.
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Affiliation(s)
- Zoltán Tóth
- Department of Zoology, Plant Protection Institute, Centre for Agricultural Research, ELKH, Budapest, Hungary
| | - Boglárka Jaloveczki
- Department of Zoology, Plant Protection Institute, Centre for Agricultural Research, ELKH, Budapest, Hungary
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Valentini G, Masuda N, Shaffer Z, Hanson JR, Sasaki T, Walker SI, Pavlic TP, Pratt SC. Division of labour promotes the spread of information in colony emigrations by the ant Temnothorax rugatulus. Proc Biol Sci 2020; 287:20192950. [PMID: 32228408 PMCID: PMC7209055 DOI: 10.1098/rspb.2019.2950] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 03/06/2020] [Indexed: 01/23/2023] Open
Abstract
The fitness of group-living animals often depends on how well members share information needed for collective decision-making. Theoretical studies have shown that collective choices can emerge in a homogeneous group of individuals following identical rules, but real animals show much evidence for heterogeneity in the degree and nature of their contribution to group decisions. In social insects, for example, the transmission and processing of information is influenced by a well-organized division of labour. Studies that accurately quantify how this behavioural heterogeneity affects the spread of information among group members are still lacking. In this paper, we look at nest choices during colony emigrations of the ant Temnothorax rugatulus and quantify the degree of behavioural heterogeneity of workers. Using clustering methods and network analysis, we identify and characterize four behavioural castes of workers-primary, secondary, passive and wandering-covering distinct roles in the spread of information during an emigration. This detailed characterization of the contribution of each worker can improve models of collective decision-making in this species and promises a deeper understanding of behavioural variation at the colony level.
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Affiliation(s)
- Gabriele Valentini
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287, USA
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA
| | - Naoki Masuda
- Department of Mathematics, State University of New York, Buffalo, NY 14260, USA
- Computational and Data-Enabled Science and Engineering Program, University at Buffalo, State University of New York, Buffalo, NY 14260, USA
| | - Zachary Shaffer
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA
| | - Jake R. Hanson
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287, USA
- Beyond Center for Fundamental Concepts in Science, Arizona State University, Tempe, AZ 85287, USA
| | - Takao Sasaki
- Odum School of Ecology, University of Georgia, Athens, GA 30602, USA
| | - Sara Imari Walker
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287, USA
- Beyond Center for Fundamental Concepts in Science, Arizona State University, Tempe, AZ 85287, USA
- ASU–SFI Center for Biosocial Complex Systems, Arizona State University, Tempe, AZ 85287, USA
| | - Theodore P. Pavlic
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA
- Beyond Center for Fundamental Concepts in Science, Arizona State University, Tempe, AZ 85287, USA
- ASU–SFI Center for Biosocial Complex Systems, Arizona State University, Tempe, AZ 85287, USA
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ 85287, USA
- School of Sustainability, Arizona State University, Tempe, AZ 85287, USA
| | - Stephen C. Pratt
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA
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Firth JA, Sheldon BC, Farine DR. Pathways of information transmission among wild songbirds follow experimentally imposed changes in social foraging structure. Biol Lett 2017; 12:rsbl.2016.0144. [PMID: 27247439 PMCID: PMC4938043 DOI: 10.1098/rsbl.2016.0144] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Accepted: 04/29/2016] [Indexed: 11/12/2022] Open
Abstract
Animals regularly use information from others to shape their decisions. Yet, determining how changes in social structure affect information flow and social learning strategies has remained challenging. We manipulated the social structure of a large community of wild songbirds by controlling which individuals could feed together at automated feeding stations (selective feeders). We then provided novel ephemeral food patches freely accessible to all birds and recorded the spread of this new information. We demonstrate that the discovery of new food patches followed the experimentally imposed social structure and that birds disproportionately learnt from those whom they could forage with at the selective feeders. The selective feeders reduced the number of conspecific information sources available and birds subsequently increased their use of information provided by heterospecifics. Our study demonstrates that changes to social systems carry over into pathways of information transfer and that individuals learn from tutors that provide relevant information in other contexts.
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Affiliation(s)
- Josh A Firth
- Edward Grey Institute, Department of Zoology, University of Oxford, Oxford OX1 3PS, UK
| | - Ben C Sheldon
- Edward Grey Institute, Department of Zoology, University of Oxford, Oxford OX1 3PS, UK
| | - Damien R Farine
- Edward Grey Institute, Department of Zoology, University of Oxford, Oxford OX1 3PS, UK Department of Collective Behaviour, Max Planck Institute for Ornithology, 78457 Konstanz, Germany Department of Biology, University of Konstanz, 78457 Konstanz, Germany
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