The paper discusses and explains the reasons that disparities and discrepancies prevail between Global North and Global South with regard to datafied family and society in general. The main question is to identify why the Global South is reluctant, dubitative even hermetically closed to reveal family secrets and facts.
Algeria as part of the South is a case study in this paper. Thus, in this country, characteristics of opacity and conservatism values and principles appear to prevail without challenges. Also, fields of culture, education, ethics, religion and politics constitute the main obstacles and hurdles to build up a datafied family that lead to family dynamics. More than that, social inequality, gap trust, injustice, lack of transparency , lack of law and order, freedom of the press contributed to adopt secretive and discreet attitudes.
It is assumed that the democratisation of the society is intimately linked to the level of political awareness, openness, commitment, civil society, citizenship engagement and in this case, Algeria is still striving to achieve such democratic goals, values and practices.
Yet, the conception and perception and implementation of datafied society are far from being well explained and understood. Algeria has inherited a socialist regime with unique party system and one way of thinking and subsequently rejecting opposite views. Citizens are trying very hard to catch up with a new political, economic and cultural environment based on principles on plurality and diversity of opinions and ideas.
So, if my paper is accepted I will provide some answers on the problematic difficulties and constraints of setting up datafied family in the Global South and Algeria in particular.

This paper explores how online networks (re) construct caring and nurturing practices of the family through the shaping of the female body as a body that produces human milk in ways that resemble old and gendered forms of labor and creates new ones. Through the analysis of three online communities of breastmilk exchange that afford both ease, access, and opportunity (Eats on Feets Facebook Groups, Facebook Market, and OnlyTheBreast.com), this essay explores how digital networks together with the technology of the breast pump and apps that keep track of breastmilk production, mobilize the female body and its milk into objects that are sometimes exchanged as commodities and others, as commerce-free pieces of labor in an era of economic relations led by the gig economy and augmented by digital platforms.
This paper studies the different elements that play a role in the exchange of breastmilk in families that sell, donate, buy or acquire breastmilk through online networks. These elements include features of the platform, type of users, network’s guidelines and values, safety measures, post content, price of the exchange, type of commitment, motivations for the exchange, and family dynamics. What opportunities for families is the online exchange of breastmilk bringing? How is that shaping, transforming, or imitating family life? What inequalities and power dynamics are being exposed and reshaped? The essay is not only putting three different sites/networks of breast milk dissemination in tension while exploring these questions, but by extension, it also shows the difference between a mutual aid social network and a commercial gig economy site as spaces embedded in family life. The paper illustrates that tension and difference, which becomes clear through the juxtaposition.

Purpose: As Internet technology evolves, electronic health (e-health) literacy gradually becomes a key factor in healthy behaviors how among adult how among adolescents. However, little is known about the influencing parental factors of adolescent e-health literacy in family. Thus, the objective of this study was to systematically review the status quo, assessment tools, and influencing parental factors of e-health literacy of adolescents.
Methods: We conducted a comprehensive search in several databases, including PubMed, Scopus, Web of Science between January 2006 and December 2022. The following search term was used E-health literacy scale. Inclusion criteria were: (1) English article published between 2006 and 2022. (2) Literature Free full text or Open Access. Exclusion criteria were: (1) Reviews, books, letters to the editor, and abstracts of speeches.
Results: A total of 61 articles were included in this review, all of which were studies about electronic health (e-health) literacy scale. The e-Health Literacy Scale (eHEALS) was the most used measurement for e-health literacy. The study has identified the influencing factors of e-health literacy among adolescents in family, including age, gender, domicile place, parental education level, information-seeking behavior, and social support. In this review, influencing parental factors were divided into predisposing factors, contributing factors, and enabling factors. These findings of this review provide new ideas for both family members and healthcare professionals to improve eHealth literacy among adolescents. Further research is needed to develop and implement an easy-to-use e-health literacy scale for adolescents.
Conclusion: In addition, there is a need to develop easy-to-use and highly accessible online information platforms and mobile applications for e-health literacy among adolescents. In addition, family members should improve communication and discussion with them on the use and acquisition of electronic resources for disease prevention and motivation for a healthy lifestyle. Families of adolescent also be encouraged to offer them more support. The findings highlighted parents as significant role models in adolescents’ healthy behaviors. Therefore, further research to examine the role of parental factors in development of adolescents’ e-Health Literacy is required.

Keywords: E-health literacy; adolescents; parental influencing factors; systematic review.

Despite numerous reforms over the years, intestate succession rules continue to privilege traditional, white, heterosexual families. It is evident that the one-size-fits-all scheme cannot truly reflect diversity of lifestyles and associations. This Article considers an innovative option that has become increasingly popular in recent years: using big data to create personalized rules, tailored to the personal characteristics of each decedent. This Article explores the promise and drawbacks of personalized intestacy, arguing that personalized default rules fall short in the realm of inheritance, because these rules are personal and inheritance law is inherently relational. It then offers preliminary guidelines for adapting big data techniques to the relational aspects of inheritance.
I use this framework to expand the study to critically evaluate other rules that can be personalized in the family: marital property division, will interpretation, and cohabitation.

Across East Africa, different regimes are experimenting with various ways of reclaiming control of the often-perceived ‘volatile’ social media and private messaging spaces. Yet, these platforms are the main ways of news exposure thus calling attention to how these tactics manifest in the patterns and practices of news consumption. This study positions trust within the broader discourses of surveillance as well as the socio-cultural context within which trust and privacy form part of public debates. While there is a widespread agreement that artificial Intelligence and algorithms have reconfigured the information—including news— distribution and consumption in the global south, it is not clear how they have shaped the understanding of trust and privacy among users its community of users. Point often overlooked, news is more than just ‘news’; it connects the ‘self’ to the immediate ‘world’, and at the same time brings the ‘world’ to the ‘self’. With this in mind, the inherent tensions of balancing how much information on/or about the ‘self’ the world need to know, and how much of the world the ‘self’ needs to know, raises fundamental issues on trust and privacy. Preliminary findings show that trust and privacy are two peas in a pod, they are inextricably linked and mutually reinforcing; two broad understandings of trust emerged, namely: vertical trust i.e. trust in societal institutions and ‘horizontal’ trust i.e. trust in each other. On the one hand, technical affordances, for instance, privacy settings and other provisions such as the use of passwords, Personal Identification Numbers (PIN), fingerprints, and voice commands among other security features emerged as the technical measures of guaranteeing online privacy and security.

Broadcasting moments of private life on YouTube has given rise to new narratives of the intimate, in individual terms, but also in the family sphere. In this way, events such as going back to school, the birth of a new family member, holidays, moving house, or a domestic problem, make up the themes of the channels through which all of this takes place: family vlogs. In addition, an apparent naturalness, and the ability to connect with audiences and thus influence their behaviour has put these family channels in the spotlight of advertisers. This research examines the intrinsic motivations (hedonic and eudaimonic), as well as the extrinsic motivations that drive these families to share their live on YouTube. For this purpose, the HEMA-RX questionnaire (Huta, 2016) was administered to N=11 families and N=101 vlogs were analyzed. Results reveal that we are dealing with a behaviour of self-affirmation, of personal commitment to one’s own family and the community of followers that they have generated with their videos and that, if money could sometimes be a motivator, as well as the psychosocial reward of knowing that they are micro-influencers, the fact is that motivation of a eudaimonic nature is also predominant.

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When service robots make mistakes: how does customers’ mood regulation affect their continuance intention to adopt?

1. Phenomenon under investigation

The rapid development and implementation of RAISA (service robots, artificial intelligence (AI) and service automation) have changed how services being delivered and experienced (Prentice et al., 2020). Thus, academics and practitioners propose that service robots become an integral part of human life (Tung and Law, 2017), and human labour will be replaced (Tuomi, Tussyadiah, and Stienmetz, 2021). However, customers’ adoption level of service robots is still quite low. Scholars attempt to examine factors that affect customer adoption of service robots, so that they can enhance their adoption. Factors related to robot characteristics, customer characteristics, and robot-customer interaction are found crucial in determining their adoption (Mende et al., 2019). Specifically, factors such as ease of use (Turja et al., 2020), gender (Seo, 2022), and anthropomorphism level (Chen et al., 2022) can affect customers’ service robot adoption to various degrees. However, this technology is still in its infancy and thus, unsuccessful outcomes of service robots, such as glitches, unexpected negative events and robots not living up to promises must be considered as they will significantly influence customers’ assessments of the service provider (Holloway and Beatty, 2003; Dabholkar and Spaid, 2012). A few scholars look into issues related to robot failure and how it affects customers’ adoption. For instance, Belanche et al. (2020) found that respondents made stronger attributions of responsibility for the service performance toward human employees than toward robot employees, particularly after a service failure. Moreover, Yang et al. (2022) examined the effectiveness of humour in robot failures suggesting that its effectiveness varies based on failure severity level. However, extant work fails to explore whether customer adoption of service robots will be affected after service failures and how customers’ affective states and individual traits affect their intentions to continue to adopt service robots.

2. Potential contributions and research questions

Factors such as a person’s affective state and mood (as well as their emotional reactions to them) largely impact their decisions to accept new technologies (Djamasbi et al., 2010). In particular, their continuous adoption of specific technology is also determined by their perceptions, such as trust (Tussyadiah et al., 2020). In reality, the affective state and “how people feel” when using technology are decisive factors, as emotional systems help define our rational decisions in conjunction with rational thought (Hanoch, 2002; Muramatsu and Hanoch, 2005). Recent studies have investigated the factors motivating customers to use these robots in service interactions (e.g., Lu et al., 2019; Liu et al., 2022). However, most of work lacks to take consumers’ affective states and individual characteristics into consideration when examining factors on their adoption intention after a service failure. Given the importance, this study aims to better understand how customers’ mood regulation influences their continued adoption of service robots after encountering unsuccessful service with a frontline robot. This research serves as a valuable contribution to the field of RAISA because it advances our understanding of the impacts that an individual’s mood has on their personality traits, which, in turn, influences their decisions to adopt new technology.

3. Theoretical Foundations

Customers’ mood regulation and adoption

Mood causes a differential impact on behaviour and advise that this has a complex relationship with people’s personality traits (Karimi and Liu, 2020). As non-specific affective states, moods can have a powerful impact on both behaviour and cognition, previous studies advising that mood can not only impact behaviour to a significant degree but also the cognition (Lischetzke and Eid, 2003; Das and Fennis, 2008). Biss et al. (2010) highlight that these enduring affective states may have positive or negative valence.

The process that people use to manage their affective states is known as mood regulation (Koole, 2010). According to Forgas (1995), the Affect Infusion Model (AIM), puts forward two different mechanisms that describe how mood impacts decisions and judgements, affect-as-information and affect-priming. In affect-as-information mechanisms, the affective state is used as a shortcut to infer evaluations and inform decisions. Therefore, consumer behaviour and choices are triggered by the behaviour that results from the influence of mood (Geen, 1995). Since consumers have different information processing behaviours (Karimi et al., 2018; 2020), their mood can affect their adoption decisions in various ways.

The mediating role of affective states
User perceptions of technology characteristics are impacted by affective states (Darban and Polites, 2016). Considering the acceptance and adoption of technologies, previous studies (e.g., Hoong et al., 2017; Verkijika, 2020) identified that people’s emotions and feelings are the most pivotal factor, outweighing other factors like the perception of risks or benefits (Chuah, 2021). Specifically, when people are in a positive mood, this affects their level of acceptance or support (Karimi and Liu, 2020). Meanwhile, Jobin et al. (2019) advise that research has not only found that people’s evaluation of information is guided by affective reactions but also that this consequently influences their acceptance of technology.

The moderating role of service failure
Service failure will become unavoidable as service robot technology becomes more commonplace; suggesting that customer satisfaction will be adversely affected by service robot failures such as preparing the wrong meal, providing incorrect directions or over-charging customers (Yam et al., 2021). Customers have certain expectations and when service falls below this standard, they will react accordingly (Hoffman and Bateson, 2010). Thus, when customers become dissatisfied through such service failures, they frequently respond with anger (Sliter et al., 2010; Wilson and Holmvall, 2013).

However, Schwarz and Clore (1983) propose that when people experience a positive mood, their affective state acts to inform their behaviour-related judgements; although satisficers may be affected by the informational impact, their pragmatism and judgement mean that they use their positive mood as information and decide to continue to use service-bots. Thus, customers who are experiencing a positive mood will be more forgiving of the failures of service robots (Yam et al., 2021). Building upon the above-mentioned conclusions and reasoning, we therefore propose the following hypotheses:

Hypothesis 1. In a positive (vs. negative) mood regulation, customers are more willing to adopt service robots after a service failure.
Hypothesis 2. The effect proposed is mediated by customers’ processed affective states.
Hypothesis 3. Robot service failure moderates the indirect effect of mood regulation on intention to adopt.

4. Methodology

This paper will conduct one correlational research (Study 1) and two experiments (Study 2A, Study 2B) to evaluate the hypotheses. Specifically, Study 1 investigates the correlations between the mood regulations that clients experience and their likelihood of continuing to use service robots. Study 2A uses an experimental method to investigate how different types of mood regulations affect participants’ affective responses, while Study 2B investigates how experimentally manipulated mood regulations facilitate customers’ intention to continue using service robots through the mediator (affective states) and the moderator (service failures). This study plans to conduct a lab experiment in a Chinese university and also an online experiment to hire samples from MTurk to take part this study.

5. Expected findings and conclusion

In conclusion, service recovery is one of the most critical initiatives required to address faults in the service delivery process and turn service failures into positive service outcomes (Chen and Tussyadiah, 2021). This study strives to add new knowledge to the pertinent literature in this field in several ways. This research will shed lights on how mood control can encourage customers’ continued intention to embrace service robots; the expected findings will experimentally evaluate and record the mediating function of customers’ affective states. Moreover, this study attempts to contribute to the literature via experiments to investigate the relationship between service failure and mood regulation. Expected findings will provide important insights into consumer behaviour and suggest that affective states plays a critical role in determining consumers’ preferences and behaviours when they encounter service failures.