In Labor, Class Formation, and China's Informationized Policy of Economic Development, Yu Hong examines crucial connections between the evolving political economy of information and communications technology (ICT) and the reconstitution of class relations in China. Situating China's ICT development over the last thirty years at the intersection of transnational trends, domestic policies, and institutional arrangements, Hong shows how evolving class relations in the ICT sector are shaped by and shaping the transnational capitalist dynamics and domestic socio-economic transformations. She goes on to argue that the huge and still expanding pool of Chinese ICT workers and their newly attained identities-as wage labor rather than consumers-constitute a missing but important dimension of human experiences of the rise of the "information society."

This book considers the Chinese internet as an ensemble of ideas, ownership, policies, laws, and interests that intersect with pre-existing global elements and, increasingly, with deepening globalizing imperatives. It extends traditional inquiry about digital China and globalization and encourages closer attention to contestation, shifting international order, transformation of states, and new requirements of global digital capitalism. Across the three foci of history, power, and governance, this book considers the ways the Chinese internet is entangled with transnational capitals, ideas, and institutions, while at the same time manifests a strong globalizing drive. It begins with a historical political economy approach that emphasizes the dialectics between structural imperatives and historical contingency. As for governance, the Chinese state has set out to re-regulate the internet as the network becomes ubiquitous during the nation's web-oriented digital transformation. Such a state-centric governance model, however, is likely to affect China's global expansion, apart from the fact that the state is taking an active interest in global internet governance. This book will be of interest to researchers and advanced students of Communication Studies, Politics, Sociology, Economics, Cultural Studies, and Science and Technology Studies. The chapters in this book were originally published as a special issue of the Chinese Journal of Communication.

In recent years, China 's leaders have taken decisive action to transform information, communications, and technology (ICT) into the nation's next pillar industry. In Networking China , Yu Hong offers an overdue examination of that burgeoning sector's political economy. Hong focuses on how the state, in conjunction with market forces and class interests, is constructing and realigning its digitalized sector. State planners intend to build a more competitive ICT sector by modernizing the network infrastructure, corporatizing media-and-entertainment institutions, and by using ICT as a crosscutting catalyst for innovation, industrial modernization, and export upgrades. The goal: to end China's industrial and technological dependence upon foreign corporations while transforming itself into a global ICT leader. The project, though bright with possibilities, unleashes implications rife with contradiction and surprise. Hong analyzes the central role of information, communications, and culture in Chinese-style capitalism. She also argues that the state and elites have failed to challenge entrenched interests or redistribute power and resources, as promised. Instead, they prioritize information, communications, and culture as technological fixes to make pragmatic tradeoffs between economic growth and social justice.

This book constitutes the refereed proceedings of the 6th CCF International Conference on Natural Language Processing, NLPCC 2017, held in Dalian, China, in November 2017. The 47 full papers and 39 short papers presented were carefully reviewed and selected from 252 submissions. The papers are organized around the following topics: IR/search/bot; knowledge graph/IE/QA; machine learning; machine translation; NLP applications; NLP fundamentals; social networks; and text mining.

This two-volume set of LNAI 13551 and 13552 constitutes the refereed proceedings of the 11th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2022, held in Guilin, China, in September 2022.The 62 full papers, 21 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 327 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.

This two-volume set of LNAI 13551 and 13552 constitutes the refereed proceedings of the 11th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2022, held in Guilin, China, in September 2022.The 62 full papers, 21 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 327 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.

This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021.The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.

This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021.The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.

This two-volume set of LNAI 12340 and LNAI 12341 constitutes the refereed proceedings of the 9th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2020, held in Zhengzhou, China, in October 2020.The 70 full papers, 30 poster papers and 14 workshop papers presented were carefully reviewed and selected from 320 submissions. They are organized in the following areas: Conversational Bot/QA; Fundamentals of NLP; Knowledge Base, Graphs and Semantic Web; Machine Learning for NLP; Machine Translation and Multilinguality; NLP Applications; Social Media and Network; Text Mining; and Trending Topics.

This two-volume set of LNAI 12340 and LNAI 12341 constitutes the refereed proceedings of the 9th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2020, held in Zhengzhou, China, in October 2020.The 70 full papers, 30 poster papers and 14 workshop papers presented were carefully reviewed and selected from 320 submissions. They are organized in the following areas: Conversational Bot/QA; Fundamentals of NLP; Knowledge Base, Graphs and Semantic Web; Machine Learning for NLP; Machine Translation and Multilinguality; NLP Applications; Social Media and Network; Text Mining; and Trending Topics.

In recent years, China 's leaders have taken decisive action to transform information, communications, and technology (ICT) into the nation's next pillar industry. In Networking China , Yu Hong offers an overdue examination of that burgeoning sector's political economy. Hong focuses on how the state, in conjunction with market forces and class interests, is constructing and realigning its digitalized sector. State planners intend to build a more competitive ICT sector by modernizing the network infrastructure, corporatizing media-and-entertainment institutions, and by using ICT as a crosscutting catalyst for innovation, industrial modernization, and export upgrades. The goal: to end China's industrial and technological dependence upon foreign corporations while transforming itself into a global ICT leader. The project, though bright with possibilities, unleashes implications rife with contradiction and surprise. Hong analyzes the central role of information, communications, and culture in Chinese-style capitalism. She also argues that the state and elites have failed to challenge entrenched interests or redistribute power and resources, as promised. Instead, they prioritize information, communications, and culture as technological fixes to make pragmatic tradeoffs between economic growth and social justice.