There is an extensive use of the words ‘Kommunikation’ (communication) and ‘Verkehr’ (intercourse) in Marx’s Das Capital and its manuscripts. Marx uses these two words in many cases include both the material dimension of transport and the mental dimension of message passing, telegraphic exchanging, interpersonal communication and relationship building, etc. Based on the second edition of Marx-Engels-Gesamtausgabe (MEGA2), we have checked all the two words and the related word ‘Transport’ (including derivatives and compounds), in which a total of 1,213 words are compared with the existing Chinese translations of Das Kapital and its manuscripts of about 12 million words. We made a variety of comparative tables and wrote an analysis about 500,000 words. It is confirmed that a considerable number of ‘Kommunikation’ and ‘Verkehr’ are translated as ‘transportation’ in chinese, whereas ‘transportation’ in contemporary Chinese mainly refers to trains, ships and other means of transport, which inadvertently causes Marx's rich view of communication to be obscured. So we make a comprehensive analysis of this situation from five aspects in this paper, and endeavour to return to Marx’s original meaning.

This study aims to explore the public’s perception, assessment and use of Generative Artificial Intelligence in human-computer interaction. With the help of science communication theory and the AIDUA research framework, and structural equation modeling analysis of 1805 sample data, the study deeply explores the factors that form the public’s multidimensional cognitive attitudes towards Generative Artificial Intelligence, as well as the paths that influence the public’s segmented content production behaviors. The study finds that the public’s cognition, assessment and use of generative AI take place in a context of intertwined and Interco structed technological imagination and technological practice. In the primary assessment stage, the public’s technological outlook is shaped by peripheral, front-end factors, including an individual’s optimistic technological disposition, prior technological experiences, and the influence of their local community. These elements drive their perceptions and practical engagement with GAI. In the subsequent evaluation stage, the public’s understanding of GAI’s usage, advantages, and potential risks, informed by their own technological activities, gives rise to a complex cognitive attitude that encompasses both favorable and unfavorable elements. Ultimately, at the behavioral outcome stage, these multidimensional cognitive attitudes significantly impact the public's intricate content creation decisions.

This study investigates the politics of visibility between platforms and laborers, starting with the algorithmic gossip among live e-commerce entrepreneurs. This research founds that, the content of algorithmic gossip can be divided into two parts: simplifying algorithms and auditing algorithms. The first part shows how entrepreneurs simplify rules and establish norms, including defining “traffic” in terms of digital identity and explicitly executing the “data-running” labor process of producing data through content production, real-time monitoring, and analyzing feedback. Auditing algorithms reflects entrepreneurs’ reinterpretation of the meaning of algorithms while rationalizing platform governance measures, evidenced by entrepreneurs’ auditing of algorithms for innovation, decentralization, and publicness. The article concludes by summarizing the theoretical value of algorithmic gossip in understanding the relationship between platforms and workers from marginal knowledge and the technological environment in general.

As AI social chatbots are seen as human communicators, it is crucial to understand the problems of gender bias in their interactions with humans. Using the method of conversation test, this paper designs a series of questions for testing gender bias of robots and to test the gender bias of three mainstream social chatbots in China. The interaction texts are analyzed through qualitative coding analysis.The results indicate that social chatbots exhibit significant gender bias in self- perception of gender, gender stereotypes, gender equality, and response to gender harassment, which are unrelated to the male and female gender roles of the social chatbots themselves. The gender bias of social chatbots as products of human-computer interaction technology, they are constructed by user participation, dialog system technical support, technology companies and program developers. The result is that AI, as represented by social chatbots, replicates and reinforces the construct power of gender bias in the gender culture of human society in learning and imitation.

Drawing on the perspective of digital curation, this article analyzes the life trajectories of several short videos widely circulated during the Wuhan lockdown to explore the making of digital iconic events and the performing of COVID-19 and its memories. The comparative analysis of multiple cases reveals that the social life of digital iconic events covers three interpretive phases, i.e., circulation, domestication, and canonization. In their multi-modal memory practices, social media users and institutional media mobilize a wide variety of digital curation strategies to create copies or variants of the short videos, extend or reverse the performance scenarios, amplify or transform the emotions of performers and the audience, and integrate them into the grand narrative. Eventually, some short videos became fleeting moments, while others were etched into public memory with a “moving” tone.

The prevalence of digital platforms has provided great convenience but also increased privacy risks. Using the Communication Privacy Management theory, this paper explored how Chinese users manage privacy boundaries in non-social contexts. This paper found that there are dual paths of users' platform privacy boundary management through in-depth interviews and validated the psychological mechanisms through a questionnaire (N=1419). It concluded that Chinese users make privacy management decisions based on the premise that they are dependent on such non-social platforms for daily life activities. However, two internal and external factors, namely self-efficacy and privacy calculations, intervene in such decisions. This paper developed privacy management strategies in the context of life service platforms and provided a theoretical reference for subsequent research on privacy management in non-personal contexts.

Research on memory practices has richly discussed representational and archival memory practices, but has not yet fully analyzed imaginative, non-representational and affective memory practices. This paper analyzes three types of affective mnemonic imagination of Xiami Refugees’ “difficulties” and the related affective nostalgic connotations. The mnemonic imagination of daily recommendations demonstrates the affective experience of flipped music discovery and a mediated sense of being-in-the-world. The mnemonic imagination of genre labeling integrates a nonhuman- centered world imagery in the recollection of post-rock and ambient music. The mnemonic imagination of playlist and music library demonstrates the affective connection of individual, community, and the platform in the construction of collective vernacular music archiving as well as the public value behind cultural heritage. These three kinds of emotional mnemonic imagination are the momentum of Xiami Refugee’s affective nostalgia. What underneath the affective nostalgia of “No home to go to, and no world to be in” is the ethics of hope: clarifying people’s longing for online public music life, reflecting on the precarity of mediated being-in-the-world with three strategies to cope with it, relying on residuals of body memory and affective memory to re-explore relational connection with multiple bodies.

The rapid development of eSports industry has transformed itself into a multilateral platform model and a career development path with high-level literacy requirements. This study introduces the concept of “media literacy” and adopts Meyrowitz (1998) “three-part division” of media literacy, namely content literacy, grammar literacy, and medium literacy, to propose the theoretical framework of “eSports literacy”. The study attempts to explore the dynamic relationship between media and technology, labor, and employment. By treating eSports as a medium that spans across sports, technology, culture, and media, the study examines how eSports professionals understand and use media, and ultimately integrate into the media environment to enhance their media productivity. This study identifies six key actors, including Tencent Esports, the Ministry of Education, the Sports Bureau, esports clubs, vocational colleges, and universities, who play a crucial role in constructing eSports literacy. These actors promote a shared value proposition among professionals in the industry, collaborative innovation, and sustainable self-development, thereby constituting the three levels of eSports literacy: content literacy, grammar literacy, and medium literacy. The contribution of this study lies in concretizing the macro-level development of the eSports industry into the micro-level requirements for media literacy among professionals. By interpreting the mutually constitutive relationship between media literacy and the industry ecosystem, the study clarifies how professionals can enhance their media production practices in the eSports medium and achieve digital survival.