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Information Processing and Management
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3.89
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Papers 4297
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Published on Jan 1, 2020in Information Processing and Management3.89
Kai Li (NKU: Nankai University), Liangqi Cheng (NKU: Nankai University), Ching-I Teng (MCUT: Ming Chi University of Technology)
Abstract Private information disclosure on social networking sites (SNS) is one of the most important and active issues in the information management arena. The growing phenomenon of platforms requiring users to disclose personal information exposes the limitations of previous studies that only focus on users’ voluntary disclosure. In this study, we define two modes of users’ private information disclosure behavior: voluntary sharing and mandatory provision. Using the Communication Privacy Manag...
Published on Jan 1, 2020in Information Processing and Management3.89
Ema Kusen4
Estimated H-index: 4
(WU: Vienna University of Economics and Business),
Mark Strembeck20
Estimated H-index: 20
Abstract We analyze a data-set including more than 4.5 million tweets related to four highly emotional riot events. In particular, we examine statistically significant structural patterns that emerge as humans directly engage in an exchange of emotional messages with other humans on Twitter. Furthermore, we compare typical human-to-human communication patterns with those that emerge as bots engage in an emotional message-exchange with human users. To this end, we apply the novel concept of emoti...
Published on Jan 1, 2020in Information Processing and Management3.89
Lianhai Miao (Hunan University), Da Cao (Hunan University)+ 1 AuthorsWeili Guan (HP: Hewlett-Packard)
Abstract Product title generation in e-commerce is a challenging task, which involves modeling multi-modal resources, i.e., textual descriptions and visual pictures, and comprising a sequence of words with proper ordering. Although myriad researches have studied this task and prompting progress has been made, there still exists a noticeable gap between generated titles and the requirements on mobile devices, especially considering the limited screen size. Towards filling this gap, we collect a l...
Badr Ait Hammou1
Estimated H-index: 1
(Mohammed V University),
Ayoub Ait Lahcen3
Estimated H-index: 3
(Mohammed V University),
Salma Mouline4
Estimated H-index: 4
(Mohammed V University)
Abstract Big data generated by social media stands for a valuable source of information, which offers an excellent opportunity to mine valuable insights. Particularly, User-generated contents such as reviews, recommendations, and users’ behavior data are useful for supporting several marketing activities of many companies. Knowing what users are saying about the products they bought or the services they used through reviews in social media represents a key factor for making decisions. Sentiment ...
Published on Jan 1, 2020in Information Processing and Management3.89
Chunxiao Yin (SWU: Southwest University), Xiaofei Zhang (NKU: Nankai University), Libo Liu (Swinburne University of Technology)
Abstract Forwarding negative information on microblogs, termed reposting negative information (RNI) in this study, refers to reposting negative, non-original information publicly on microblogs, causes large-scale bad news dissemination on microblogs, which in turn has detrimental consequences for organizations and the society. However, previous research concentrated on sharing of original content (such as knowledge sharing and word-of-mouth) or focused on general information forwarding on social...
Kiran Zahra1
Estimated H-index: 1
(UZH: University of Zurich),
Muhammad Irfan34
Estimated H-index: 34
(Qatar Computing Research Institute),
Frank O. Ostermann8
Estimated H-index: 8
(UT: University of Twente)
Abstract Social media platforms such as Twitter provide convenient ways to share and consume important information during disasters and emergencies. Information from bystanders and eyewitnesses can be useful for law enforcement agencies and humanitarian organizations to get firsthand and credible information about an ongoing situation to gain situational awareness among other potential uses. However, the identification of eyewitness reports on Twitter is a challenging task. This work investigate...
Published on Jan 1, 2020in Information Processing and Management3.89
Ashraf Elnagar11
Estimated H-index: 11
(UOS: University of Sharjah),
Ridhwan Al-Debsi (UOS: University of Sharjah), Omar Einea2
Estimated H-index: 2
(UOS: University of Sharjah)
Abstract Text classification or categorization is the process of automatically tagging a textual document with most relevant labels or categories. When the number of labels is restricted to one, the task becomes single-label text categorization. However, the multi-label version is challenging. For Arabic language, both tasks (especially the latter one) become more challenging in the absence of large and free Arabic rich and rational datasets. Therefore, we introduce new rich and unbiased dataset...
Published on Jan 1, 2020in Information Processing and Management3.89
Mingjun Xin (SHU: Shanghai University), Lijun Wu (SHU: Shanghai University)
Abstract Friend recommendation is an important feature of social network applications to help people make new friends and expand their social circles. However, the user-location and user-user information in location based social network are both too sparse which contributes to a big challenge for recommendation. In this paper, a new multi-feature SVM based friend recommendation model (MF-SVM) is proposed which regarded as a binary classification problem to tackle this challenge. We extract three...
Published on Nov 1, 2019in Information Processing and Management3.89
Anastasia Giachanou6
Estimated H-index: 6
(USI: University of Lugano),
Julio Gonzalo25
Estimated H-index: 25
(UNED: National University of Distance Education),
F. Crest ani29
Estimated H-index: 29
(USI: University of Lugano)
Abstract The emergence of social media and the huge amount of opinions that are posted everyday have influenced online reputation management. Reputation experts need to filter and control what is posted online and, more importantly, determine if an online post is going to have positive or negative implications towards the entity of interest. This task is challenging, considering that there are posts that have implications on an entity's reputation but do not express any sentiment. In this paper,...
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