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Zou Y, Han X, Yu X, Zhang Y, Shuai Q. Friendship jealousy and interaction needs: how mutual friend features affect users of WeChat Moments. Front Psychol 2024; 15:1411034. [PMID: 39463454 PMCID: PMC11509209 DOI: 10.3389/fpsyg.2024.1411034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 09/19/2024] [Indexed: 10/29/2024] Open
Abstract
Many social networking services (SNSs) have features that highlight the common friends of pairs of users. Previous research has examined recommendation systems that use mutual friend metrics, but few scholars have studied how the existence of features related to mutual friends affects users in SNSs. To explore this issue further, we conducted interviews with 22 users of WeChat Moments to investigate how certain rules involving mutual friends affect users and how they deal with the issues that arise due to these rules. We found that the three Moments rules related to mutual friends (response visibility, response notifications, and information dissemination) can cause users to feel jealous, annoyed, and embarrassed. To prevent these negative experiences, users may reduce the amount of information they disclose or the frequency of their interactions in SNSs. Based on these findings, we propose several future directions for scholars and a small number of design suggestions aimed at assisting providers to satisfy users' interaction needs.
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Affiliation(s)
- Yehan Zou
- School of Business Administration, Southwestern University of Finance and Economics, Chengdu, China
| | - Xiqing Han
- School of Information Management, Wuhan University, Wuhan, China
- School of Management Science and Engineering, Southwestern University of Finance and Economics, Chengdu, China
| | - Xudan Yu
- School of Management Science and Engineering, Southwestern University of Finance and Economics, Chengdu, China
- School of Management, Tianjin University, Tianjin, China
| | - Yun Zhang
- School of Management Science and Engineering, Southwestern University of Finance and Economics, Chengdu, China
- Engineering Research Center of Intelligent Finance, Ministry of Education, Southwestern University of Finance and Economics, Chengdu, China
| | - Qinghong Shuai
- School of Management Science and Engineering, Southwestern University of Finance and Economics, Chengdu, China
- Engineering Research Center of Intelligent Finance, Ministry of Education, Southwestern University of Finance and Economics, Chengdu, China
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Ekerdt C, Menks WM, Fernández G, McQueen JM, Takashima A, Janzen G. White matter connectivity linked to novel word learning in children. Brain Struct Funct 2024:10.1007/s00429-024-02857-6. [PMID: 39325144 DOI: 10.1007/s00429-024-02857-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 09/03/2024] [Indexed: 09/27/2024]
Abstract
Children and adults are excellent word learners. Increasing evidence suggests that the neural mechanisms that allow us to learn words change with age. In a recent fMRI study from our group, several brain regions exhibited age-related differences when accessing newly learned words in a second language (L2; Takashima et al. Dev Cogn Neurosci 37, 2019). Namely, while the Teen group (aged 14-16 years) activated more left frontal and parietal regions, the Young group (aged 8-10 years) activated right frontal and parietal regions. In the current study we analyzed the structural connectivity data from the aforementioned study, examining the white matter connectivity of the regions that showed age-related functional activation differences. Age group differences in streamline density as well as correlations with L2 word learning success and their interaction were examined. The Teen group showed stronger connectivity than the Young group in the right arcuate fasciculus (AF). Furthermore, white matter connectivity and memory for L2 words across the two age groups correlated in the left AF and the right anterior thalamic radiation (ATR) such that higher connectivity in the left AF and lower connectivity in the right ATR was related to better memory for L2 words. Additionally, connectivity in the area of the right AF that exhibited age-related differences predicted word learning success. The finding that across the two age groups, stronger connectivity is related to better memory for words lends further support to the hypothesis that the prolonged maturation of the prefrontal cortex, here in the form of structural connectivity, plays an important role in the development of memory.
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Affiliation(s)
- Clara Ekerdt
- Donders Institute for Brain, Cognition and Behaviour, Radboud University and Radboud University Medical Centre, Nijmegen, the Netherlands.
| | - Willeke M Menks
- Donders Institute for Brain, Cognition and Behaviour, Radboud University and Radboud University Medical Centre, Nijmegen, the Netherlands
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Guillén Fernández
- Donders Institute for Brain, Cognition and Behaviour, Radboud University and Radboud University Medical Centre, Nijmegen, the Netherlands
| | - James M McQueen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University and Radboud University Medical Centre, Nijmegen, the Netherlands
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Atsuko Takashima
- Donders Institute for Brain, Cognition and Behaviour, Radboud University and Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Gabriele Janzen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University and Radboud University Medical Centre, Nijmegen, the Netherlands
- Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
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Menks WM, Ekerdt C, Lemhöfer K, Kidd E, Fernández G, McQueen JM, Janzen G. Developmental changes in brain activation during novel grammar learning in 8-25-year-olds. Dev Cogn Neurosci 2024; 66:101347. [PMID: 38277712 PMCID: PMC10839867 DOI: 10.1016/j.dcn.2024.101347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 01/12/2024] [Accepted: 01/17/2024] [Indexed: 01/28/2024] Open
Abstract
While it is well established that grammar learning success varies with age, the cause of this developmental change is largely unknown. This study examined functional MRI activation across a broad developmental sample of 165 Dutch-speaking individuals (8-25 years) as they were implicitly learning a new grammatical system. This approach allowed us to assess the direct effects of age on grammar learning ability while exploring its neural correlates. In contrast to the alleged advantage of children language learners over adults, we found that adults outperformed children. Moreover, our behavioral data showed a sharp discontinuity in the relationship between age and grammar learning performance: there was a strong positive linear correlation between 8 and 15.4 years of age, after which age had no further effect. Neurally, our data indicate two important findings: (i) during grammar learning, adults and children activate similar brain regions, suggesting continuity in the neural networks that support initial grammar learning; and (ii) activation level is age-dependent, with children showing less activation than older participants. We suggest that these age-dependent processes may constrain developmental effects in grammar learning. The present study provides new insights into the neural basis of age-related differences in grammar learning in second language acquisition.
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Affiliation(s)
- W M Menks
- Donders Institute for Brain, Cognition and Behaviour, Radboud University and Radboud University Medical Center, Nijmegen, the Netherlands; Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.
| | - C Ekerdt
- Donders Institute for Brain, Cognition and Behaviour, Radboud University and Radboud University Medical Center, Nijmegen, the Netherlands
| | - K Lemhöfer
- Donders Institute for Brain, Cognition and Behaviour, Radboud University and Radboud University Medical Center, Nijmegen, the Netherlands
| | - E Kidd
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; ARC Centre of Excellence for the Dynamics of Language, Australian National University, Canberra, Australia; School of Literature, Languages, and Linguistics, Australian National University, Canberra, Australia
| | - G Fernández
- Donders Institute for Brain, Cognition and Behaviour, Radboud University and Radboud University Medical Center, Nijmegen, the Netherlands
| | - J M McQueen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University and Radboud University Medical Center, Nijmegen, the Netherlands; Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - G Janzen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University and Radboud University Medical Center, Nijmegen, the Netherlands; Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
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