Information technology & media sociology in a (still) pandemic world

The current period of disruptive social change is inextricably bound up with new means and modes of communication, information, and media streams. The Communication, Information Technologies & Media Sociology section of the American Sociological Association (CITAMS) locates these factors at the center of our collective interests, investigating them through a plethora of methods, theories, and empirical cases. Each year, CITAMS runs a special issue in ICS showcasing select works presented at the previous year's American Sociological Association conference and the affiliated Media Sociology preconference. Papers in the 2022 CITAMS Special Issue reflect a social context defined by a prolonged global pandemic and wrought by democratic uncertainty. Across these social circumstances, technology and media loom large. Simultaneously, everyday life continues and classic CITAMS scholarship sustains relevance for the ways people interact, construct identity, consume, and mobilize. All of this and more are contained in the pages of this year's Special Issue, from which readers can get a sense of what CITAMS has to offer and consider how their own work may fit within the broad CITAMS umbrella. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Novel social distancing detector using local binary pattern in comparison with principal component analysis to improve accuracy

The objective is to detect Novel Social Distancing using Local Binary Pattern (LBP) in comparison with Principal Component Analysis (PCA). Social Distance deduction is performed using Local Binary Pattern(N=20) and Principal Component Analysis(N=20) algorithms. Google AI open Images dataset is used for image detection. Dataset contains more than 10,000 images. Accuracy of Principal Component Analysis is 89.8% and Local Binary Pattern is 93.9%. There exists a statistical significant difference between LBP and PCA with (p<0.05). Local Binary Pattern appears to perform significantly better than Principal Component Analysis for Social Distancing Detection. © 2023 Author(s).

Infectious diseases and social distancing under state-dependent probabilities.

We analyze the implications of infectious diseases and social distancing in an extended SIS framework to allow for the presence of stochastic shocks with state dependent probabilities. Random shocks give rise to the diffusion of a new strain of the disease which affects both the number of infectives and the average biological characteristics of the pathogen causing the disease. The probability of such shock realizations changes with the level of disease prevalence and we analyze how the properties of the state-dependent probability function affect the long run epidemiological outcome which is characterized by an invariant probability distribution supported on a range of positive prevalence levels. We show that social distancing reduces the size of the support of the steady state distribution decreasing thus the variability of disease prevalence, but in so doing it also shifts the support rightward allowing eventually for more infectives than in an uncontrolled framework. Nevertheless, social distancing is an effective control measure since it concentrates most of the mass of the distribution toward the lower extreme of its support.

Relationship between sleep quality and social support in medical staff during normalized prevention and control of COVID-19.

Objective: To investigate the sleep quality and social support in medical staff during the normalized prevention and control of the COVID-19 epidemic, and to explore the relationship between them. Methods: From January to June 2021, 3163 medical personnel were recruited to participate in health screening at a tertiary general hospital. The Pittsburgh Sleep Quality Index (PSQI), Social Support Rating Scale (SSRS), Patient Health Questionnaire-2 (PHQ-2), and Generalized Anxiety Disorder Scale-2 (GAD-2) were used to evaluate sleep, social support, depression, and anxiety status, respectively. According to the SSRS scores, they could be classified as low level of social support (≤22 points), medium level of social support (23-44 points) and high level of social support (＞44 points). Results: Totally 27.8% of the participants had poor sleep quality (the PSQI score＞5 points), 90.7 % of medical staff had a moderate level of social support, with only 6.3 % having a high level. Medium and high levels of social support were negatively associated with sleep quality (OR=0.58, 0.49). Conclusion: The quality of sleep of medical staff is closely related to the level of social support during the normalized prevention and control of COVID-19. (English) [ FROM AUTHOR] 目的: 了解新冠肺炎防控常态化期间医务人员的睡眠质量和社会支持水平, 探讨两者之间的关系。方法: 2021 年 1-6 月, 招募参加某三级综合医院健康体检的医务人员 3163 名, 采用匹兹堡睡眠质量指数（PSQI）、社会支持评定量表（SSRS）、病人健康问卷-2 （PHQ-2）、广泛性焦虑障碍量表-2（GAD-2）分别调查睡眠、社会支持、抑郁和焦虑状况。根据 SSRS 得分可分为低水平社会支持（≤22 分）、中等水平社会支持（23～44 分）和高水平社会支持（＞44 分）。结果: 27.8% 的医务人员睡眠质量差（PSQI 得分＞5 分）;90.7% 的医务人员的社会支持水平为中等水平, 仅有 6.3% 为高水平。中、高水平的社会支持与睡眠质量负向关联（OR=0.58、0.49）。结论: 在新冠肺炎防控常态化期间, 医务人员的睡眠质量与社会支持水平关系密切。 (Chinese) [ FROM AUTHOR] Copyright of Chinese Mental Health Journal / Zhongguo Xinli Weisheng Zazhi is the property of Chinese Mental Health Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

The impact of positive thinking on anxiety level of corona virus/ covid-19 infection during the lockdown among UNRWA staff in Jordan.

The current study aimed to identify the impact of positive thinking on the anxiety of Coronavirus infection through the lockdown among UNRWA staff in Jordan. To achieve the objectives of the study, three measures were developed, the Positive Thinking Scale, the anxiety level of Coronavirus Infection Scale, and the lockdown Scale. A sample of (2036) employees responded to the measures. The results showed that the level of anxiety for COVID -19 infection among the sample was high, and statistically significant differences were found in the level of Covid-19 infection anxiety according to the sex variable for females, also statistically differences were found in the level of anxiety in COVID-19 infection according to age in favor of (31-40), and statistically differences for the social status in favor of married couples. Results also showed a direct negative impact of positive thinking variable on the level of anxiety associated with COVID-19 infection, and an effect of positive thinking on the level of anxiety during activating the lockdown. The study recommends designing training programs for employees to help them adapt to different circumstances and enable them to continue performing their assigned work. [ FROM AUTHOR] Copyright of An-Najah University Journal for Research, B: Humanities is the property of An-Najah National University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

The pandemic in post-modernity and its implications for the concept of love

This reflection article presents the theme of love in the pandemic postmodern scenario, arguing the transformation of the concept of love according to the particularities that the containment measures for the Covid-19 have generated, understanding that the confinement and quarantines have been realities understood from particular experiences permeated by the economy, social reality, spiritual or philosophical reflection on the meaning of life or the impacts on mental health. The article offers an analytical reflection from a diversity of positions that help to understand the phenomenon of the pandemic in the postmodern scenario and the way in which it has transformed the concept of love. Thus, elements are collected that allow us to understand particularities of the Covid-19 pandemic in postmodernity, showing the diversity of experiences from which, it was signified and the way in which these meanings give particular meanings to the reality that this event represented for the humanity.

The mediating role of social media fatigue on social media usage behaviour of the ageing society during the COVID-19 pandemic

At the peak of the COVID-19 pandemic, research on social media in the Malaysian context focused on its benefits and overlooked its drawbacks. To investigate this, we looked at an ageing society whose psychological health was severely affected during the pandemic. This study developed a model based on the Stressor-Strain-Outcome (SSO) framework that predicts factors that prompt passive social media use in Malaysia's ageing society during the COVID-19 pandemic. Convenient sampling was utilised to collect responses from 389 Malaysian older adults through an online survey. The direct effects of stressors, including information overload, communication overload, complexity, privacy, and fear of missing out on the strain of social media fatigue, and indirect effects on the outcome of passive social media use were investigated. For the assessment of the study model, partial least squares structural equation modelling (PLS-SEM) was applied. Out of 11 hypotheses, four direct and three indirect hypotheses were accepted. The study findings did not support the direct and indirect effects of privacy and fear of missing out on social media fatigue and passive social media use, respectively. Findings reveal complexity as the more significant factor influencing social media fatigue, and indirectly, contributing towards the passive use of social media. This study contributes to understanding how social media interaction affects an ageing society during the pandemic lockdown. Despite widespread interest in this field, research on ageing populations concerning social media effects and pandemics is still in its early stages in Malaysia. The study's conclusion offers a thorough examination of its limitations and provides valuable recommendations for future research endeavours. © SEARCH Journal 2023.

Change in anti‐COVID‐19 behaviour and anti‐immigrant prejudice during the COVID‐19 pandemic: Longitudinal evidence from five European countries

During a pandemic, it is vital to identify factors that motivate individuals to behave in ways that limit virus transmission (i.e., anti‐COVID‐19 behaviour). Fear has been suggested to motivate health‐oriented behaviour, yet fear of the virus (i.e., fear of COVID‐19) could have unintended consequences, such as an increase in anti‐immigrant prejudice. In a three‐wave longitudinal study (NT1 = 4275) in five European countries from April to October 2020, we investigated how social norms, the impact of the pandemic on individuals, and intergroup contact affected fear of COVID‐19 and—or in turn—anti‐COVID‐19 behaviour and prejudice towards immigrants. A latent change score model—distinguishing between intra‐ and inter‐individual changes in outcomes—indicated that fear of COVID‐19 influenced neither anti‐COVID‐19 behaviour nor prejudice. Anti‐COVID‐19 behaviour was increased by anti‐COVID‐19 norms (i.e., belief that others perform anti‐COVID‐19 behaviours), while prejudice was influenced by positive and negative direct and mass‐mediated intergroup contact.

The destructiveness of omnipotence and 'perverted containing': Psychoanalytic reflections on the dynamic between Donald Trump and his supporters

This chapter describes a model of 'perverted containing' to explain escalating destructive social processes rooted in phantasies of omnipotence and nourished by unconscious fears of annihilation, using the example of Donald Trump-a prime example of a destructive narcissistic populist who offers omnipotence as salvation. It combines Rosenfeld's theory of destructive narcissism and Bion's theory of the container/contained to describe the powerful dynamic existing between Trump and his voters in which the omnipotent appeal of the demagogue held his followers in thrall. Trump offers his supporters omnipotence as perverted containing. He embodies omnipotence as a person;therefore, he appears convincing, so people can easily believe in him-especially those who, on an early level of intensive anxieties, feelings of persecution, and longing for symbiosis, prefer to attach themselves to one person. Thus, he accommodates their desires to identify and bond symbiotically with one person in total consensus-without triangulation, without doubting and space to develop individual perception and judgment. In the 2020 COVID-19 crisis, Trump first used his usual means: distortion and denial of reality, self-praise and directing accusations towards the usual 'enemies'. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Analysis of social and psychological factors influencing the treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019.

Objective To explore the sociodemographic and psychological factors influencing the continuity of treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019 (COVID-19). Methods A total of 277 patients with chronic kidney disease who were admitted to Department of Nephrology, The First Affiliated Hospital of Naval Medical University (Second Military Medical University) from Apr. 2020 to Mar. 2021 were enrolled and divided into 3 groups: non-dialysis group (n=102), hemodialysis (HD) group (n=108), and peritoneal dialysis (PD) group (n=67). All patients were investigated by online and offline questionnaires, including self-designed basic situation questionnaire, self-rating anxiety scale (SAS), and self-rating depression scale (SDS). The general sociodemographic data, anxiety and depression of the 3 groups were compared, and the influence of sociodemographic and psychological factors on the interruption or delay of treatment was analyzed by binary logistic regression model. Results There were significant differences in age distribution, marital status, occupation, medical insurance type, caregiver type, whether there was an urgent need for hospitalization and whether treatment was delayed or interrupted among the 3 groups (all P0.05). The average SAS score of 65 PD patients was 38.15+/-15.83, including 53 (81.5%) patients without anxiety, 7 (10.8%) patients with mild anxiety, and 5 (7.7%) patients with moderate to severe anxiety. The average SAS score of 104 patients in the HD group was 36.86+/-14.03, including 81 (77.9%) patients without anxiety, 18 (17.3%) patients with mild anxiety, and 5 (4.8%) patients with moderate to severe anxiety. There were no significant differences in the mean score of SAS or anxiety severity grading between the 2 groups (both P0.05). The mean SDS scores of 65 PD patients were 53.42+/-13.30, including 22 (33.8%) patients without depression, 21 (32.3%) patients with mild depression, and 22 (33.8%) patients with moderate to severe depression. The mean SDS scores of 104 patients in the HD group were 50.79+/-10.76, including 36 (34.6%) patients without depression, 56 (53.8%) patients with mild depression, and 12 (11.6%) patients with moderate to severe depression. There were no significant differences in mean SDS scores or depression severity grading between the 2 groups (both P0.05). The results of intra-group comparison showed that the incidence and severity of depression were higher than those of anxiety in both groups. Multivariate binary logistic regression analysis showed that high school education level (odds ratio OR=5.618, 95% confidence interval CI) 2.136-14.776, P0.01), and unmarried (OR=6.916, 95% CI 1.441-33.185, P=0.016), divorced (OR= 5.588, 95% CI 1.442-21.664, P=0.013), urgent need for hospitalization (OR=8.655, 95% CI 3.847-19.476, P0.01) could positively promote the continuity of treatment in maintenance dialysis patients under the regular epidemic prevention and control of COVID-19. In the non-dialysis group, no sociodemographic and psychological factors were found to be associated with the interruption or delay of treatment (P0.05). Conclusion Education, marital status, and urgent need for hospitalization are correlated with the continuity of treatment in patients with chronic kidney disease on maintenance dialysis.Copyright © 2022, Second Military Medical University Press. All rights reserved.

Politics Go "Viral": A Computational Text Analysis of the Public Attribution and Attitude Regarding the COVID-19 Crisis and Governmental Responses on Twitter

The U.S. confronts an unprecedented public health crisis, the COVID-19 pandemic, in the presidential election year in 2020. In such a compound situation, a real-time dynamic examination of how the general public ascribe the crisis responsibilities taking account to their political ideologies is helpful for developing effective strategies to manage the crisis and diminish hostility toward particular groups caused by polarization. Social media, such as Twitter, provide platforms for the public's COVID-related discourse to form, accumulate, and visibly present. Meanwhile, those features also make social media a window to monitor the public responses in real-time. This research conducted a computational text analysis of 2,918,376 tweets sent by 829,686 different U.S. users regarding COVID-19 from January 24 to May 25, 2020. Results indicate that the public's crisis attribution and attitude toward governmental crisis responses are driven by their political identities. One crisis factor identified by this study (i.e., threat level) also affects the public's attribution and attitude polarization. Additionally, we note that pandemic fatigue was identified in our findings as early as in March 2020. This study has theoretical, practical, and methodological implications informing further health communication in a heated political environment. [ FROM AUTHOR] Copyright of Social Science Computer Review is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Path planning research for mobile robots in dynamic environments

At present, due to the COVID-19, China's social and economic development has slowed down. Some life service e-commerce platforms have successively launched "contactless delivery" services, which can effectively curb the spread of the epidemic. Robot distribution is the current mainstream, but robots are different from people and need to have accurate program settings. Both path planning and obstacle avoidance are currently top issues. This requires the mobile robot to successfully arrive at the destination while minimizing the impact on the surrounding environment and pedestrians, and avoiding encroachment on the movement space of pedestrians. Therefore, the mobile robot needs to be able to actively avoid moving pedestrians in a dynamic environment, in addition to avoiding static obstacles, and safely and efficiently integrate into the pedestrian movement environment. In this paper, the path planning problem of unmanned delivery robot is studied, and the path of mobile robot in the crowd is determined by global planning and local planning, and the matlab simulation is used for verification. © The Authors. Published under a Creative Commons Attribution CC-BY 3.0 License.

Spatial Interactions and the Spread of COVID-19: A Network Perspective

We use unique data on the travel history of confirmed patients at a daily frequency across 31 provinces in China to study how spatial interactions influence the geographic spread of pandemic COVID-19. We develop and simultaneously estimate a structural model of dynamic disease transmission network formation and spatial interaction. This allows us to understand what externalities the disease risk associated with a single place may create for the entire country. We find a positive and significant spatial interaction effect that strongly influences the duration and severity of pandemic COVID-19. And there exists heterogeneity in this interaction effect: the spatial spillover effect from the source province is significantly higher than from other provinces. Further counterfactual policy analysis shows that targeting the key province can improve the effectiveness of policy interventions for containing the geographic spread of pandemic COVID-19, and the effect of such targeted policy decreases with an increase in the time of delay.

Influence of health literacy of rural junior middle school students on knowledge, attitudes and practices of COVID-19 protection in Jiangxi Province

Objective: To understand the influence of junior middle school students' health literacy on knowledge, belief and behavior of COVID-19 in rural areas of Jiangxi Province, and to enhance junior middle school students' ability to deal with public health emergencies. Methods: Stratified cluster random sampling was used to investigate the health literacy, knowledge level and behavior of COVID-19 protection of 4 311 grade 7 to grade 8 students in rural areas of Jiangxi Province;Chi-square test and Logistic regression analysis were used to analyze the correlation between junior high school students' health literacy and COVID-19 protection knowledge, belief and behavior. Results: The rate of health literacy of junior middle school students in rural areas was 18.21%(n=785), the reported rate of intermediate level was high (n=2 454, 56.92%), and the reported rate of junior high school students at a low level of health literacy was 24.87%(n=1 072). The rate of junior middle school students in rural areas with good COVID-19 protection knowledge was 63.49%, the rate of positive protection attitude was 74.25%, and the rate of good protection behavior was 85.36%;Rate of COVID-19 protection knowledge (OR=4.85, 95%CI=3.80-6.18) and positive rate of protection attitude of high-level health literacy (OR=44.07, 95%CI=24.57-79.05), protective behavior possession rate (OR=25.99, 95%CI=19.67-34.35) were higher than those with low level of health literacy(P < 0.01). Conclusion: Health literacy is associated with COVID-19 protection knowledge, belief and behavior in rural junior high school students of Jiangxi Province, the findings provide direction for junior middle school students to improve their ability to deal with public health emergencies.

Build an Agent-Based Model for COVID-19 Effect of Mitigation Policies

Non-Drug Intervention (NDI) is one of the important means to prevent and control the outbreak of coronavirus disease 2019 (COVID-19), and the implementation of this series of measures plays a key role in the development of the epidemic. The purpose of this paper is to study the impact of different mitigation measures on the situation of the COVID 19, and effectively respond to the prevention and control situation in the "post-epidemic era". The present work is based on the Susceptible-Exposed-Infectious-Remove-Susceptible (SEIRS) Model, and adapted the agent-based model (ABM) to construct the epidemic prevention and control model framework to simulate the COVID-19 epidemic from three aspects: social distance, personal protection, and bed resources. The experiment results show that the above NDI are effective mitigation measures for epidemic prevention and control, and can play a positive role in the recurrence of COVID-19, but a single measure cannot prevent the recurrence of infection peaks and curb the spread of the epidemic;When social distance and personal protection rules are out of control, bed resources will become an important guarantee for epidemic prevention and control. Although the spread of the epidemic cannot be curbed, it can slow down the recurrence of the peak of the epidemic;When people abide by social distance and personal protection rules, the pressure on bed resources will be eased. At the same time, under the interaction of the three measures, not only the death toll can be reduced, but the spread of the epidemic can also be effectively curbed. © 2022 ACM.

Interrogating Chilean community psychology in times of crisis

The social outbreak that occurred in Chile in October 2019, added to the COVID-19 pandemic, has made visible and exacerbated inequities of all kinds in the country (health, work, housing, education etc). This has resulted in the activation of various social and community processes that try to reverse situations of injustice and also to subvert the economic and social logic that has led us to this situation. In this scenario, the question arises, what can Chilean Community Psychology contribute to this crisis? An attempt is made to answer this question in this chapter, which addresses, from an integrated perspective, the various alternatives that our discipline has to contribute to this process of social transformation. (PsycInfo Database Record (c) 2023 APA, all rights reserved) (Spanish) El estallido social que se produjo en Chile en octubre de 2019, sumado a la pandemia por COVID-19, ha hecho visibles y ha agudizado las inequidades de todo tipo en el pais (salud, trabajo, vivienda, educacion, etc.). Lo anterior ha tenido como consecuencia la activacion de diversos procesos sociales y comunitarios que intentan, por un lado, revertir las situaciones de injusticia y, por otro, subvertir la logica economica y social que nos ha llevado a esta situacion. En este escenario surge la pregunta: ?que puede aportar la psicologia comunitaria chilena en esta crisis? A esta interrogante se intenta dar respuesta en este capitulo que aborda desde una mirada integrada las diversas alternativas que tiene nuestra disciplina para aportar a este proceso de transformacion social. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

A roadmap for triggering the convergence of global ESG disclosure standards: lessons from the IFRS foundation and stakeholder engagement

PurposeMotivated by the growing and urgent demands for a unified set of internationally accepted, and high-quality environmental, social and governance (hereafter ESG) disclosure standards, this exploratory study aims to propose a roadmap for setting out the proper technical groundwork for global ESG disclosure standards. Design/methodology/approachAn exploratory study is conducted to gain initial understanding and insights into establishing a worldwide set of standards for reporting on sustainability, as this topic has not been extensively studied. This study examines the viewpoints of various stakeholders, including sustainability practitioners, academics and organizations focused on ESG issues, to generate knowledge that is more solid than knowledge produced when one group of stakeholders work alone. FindingsThe results revealed that there is an ongoing and incompatible debate regarding several conceptual and practical challenges for setting a unified set of ESG disclosure standards. Practical implicationsThe study results provide multidimensional insights for regulatory parties and standard-setters to develop a high-quality package of global ESG reporting standards. This, in turn, enables different groups of stakeholders to understand the firm's impact on the environment, society and economy. Originality/valueResearch into this timely and relevant global issue is considered an appealing area of study and deserves significant attention. Thereby, working on this topic merits remarkable attention. Furthermore, this exploratory article provides valuable and informative suggestions for creating a unified and high-quality set of internationally accepted sustainability reporting standards.

Profiling COVID-19 research in the social sciences from Indonesia based on Scopus database

This study provides insights into the pattern of COVID-19 research publications in Indonesia and aims to map out the contributions of social science scholars in the country during the pandemic, using bibliometric analysis. The analysis was conducted through desk research using the scientometric method from the Scopus database, with a total of 1,037 articles analysed. The research found that social sciences scholars in Indonesia made significant contributions to the fields of online learning, economics, business and management, public health and administration, and communication and media studies. The study also identified the influences of research areas, funding, open access, female first author, female co-authors, and international collaborative research on quartile and the number of citations. The implications of the study suggest that efforts should be made to promote gender diversity in research, allocate research funding appropriately, and encourage international collaboration. Authors should prioritize publishing in high quartile journals and opt for open access publication. Additionally, academic institutions and funding agencies should provide guidance on selecting reputable journals to maintain a culture of quality research.

Social media use, psychological well-being and physical health during lockdown

In efforts to curb the spread of COVID-19, many countries have implemented a variety of lockdown and quarantine measures. With substantially reduced face-to-face interactions, many people may have relied heavily on social media for connection, information, and entertainment. However, little is known about the psychological and physical health implications of social media use during strict lockdown. The current study investigates the associations of social media use with psychological well-being and physical health among Wuhan residents (N = 1214). Our findings showed that non-COVID related self-disclosure was positively associated with psychological well-being, while COVID related information consumption and sharing were negatively associated with psychological well-being. Further, more generic use of social media was associated with lower psychological well-being, which in turn related to more somatic symptoms. Quarantined people used social media more frequently than non-quarantined people. Importantly, the negative association between social media use and psychological well-being was significantly stronger for quarantined people than unquarantined people. [ FROM AUTHOR] Copyright of Information, Communication & Society is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Large-Scale Analysis of New Employee Network Dynamics

The COVID-19 pandemic has accelerated digital transformations across industries, but also introduced new challenges into workplaces, including the difficulties of effectively socializing with colleagues when working remotely. This challenge is exacerbated for new employees who need to develop workplace networks from the outset. In this paper, by analyzing a large-scale telemetry dataset of more than 10,000 Microsoft employees who joined the company in the first three months of 2022, we describe how new employees interact and telecommute with their colleagues during their "onboarding"period. Our results reveal that although new hires are gradually expanding networks over time, there still exists significant gaps between their network statistics and those of tenured employees even after the six-month onboarding phase. We also observe that heterogeneity exists among new employees in how their networks change over time, where employees whose job tasks do not necessarily require extensive and diverse connections could be at a disadvantaged position in this onboarding process. By investigating how web-based people recommendations in organizational knowledge base facilitate new employees naturally expand their networks, we also demonstrate the potential of web-based applications for addressing the aforementioned socialization challenges. Altogether, our findings provide insights on new employee network dynamics in remote and hybrid work environments, which may help guide organizational leaders and web application developers on quantifying and improving the socialization experiences of new employees in digital workplaces. © 2023 ACM.