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  1. Fulltext Quality dimensions features for identifying high-quality user replies in text forum threads using classification methods
    Osman A, Salim N, Saeed F
    PLoS One, 2019;14(5):e0215516.
    PMID: 31091242 DOI: 10.1371/journal.pone.0215516
    The Text Forum Threads (TFThs) contain a large amount of Initial-Posts Replies pairs (IPR pairs) which are related to information exchange and discussion amongst the forum users with similar interests. Generally, some user replies in the discussion thread are off-topic and irrelevant. Hence, the content is of different qualities. It is important to identify the quality of the IPR pairs in a discussion thread in order to extract relevant information and helpful replies because a higher frequency of irrelevant replies in the thread could take the discussion in a different direction and the genuine users would lose interest in this discussion thread. In this study, the authors have presented an approach for identifying the high-quality user replies to the Initial-Post and use some quality dimensions features for their extraction. Moreover, crowdsourcing platforms were used for judging the quality of the replies and classified them into high-quality, low-quality or non-quality replies to the Initial-Posts. Then, the high-quality IPR pairs were extracted and identified based on their quality, and they were ranked using three classifiers i.e., Support Vector Machine, Naïve Bayes, and the Decision Trees according to their quality dimensions of relevancy, author activeness, timeliness, ease-of-understanding, politeness, and amount-of-data. In conclusion, the experimental results for the TFThs showed that the proposed approach could improve the extraction of the quality replies and identify the quality features that can be used for the Text Forum Thread Summarization.
    Matched MeSH terms: Text Messaging/statistics & numerical data*
  2. Breast cancer prevention information seeking behavior and interest on cell phone and text use: a cross-sectional study in Malaysia
    Akhtari-Zavare M, Ghanbari-Baghestan A, Latiff LA, Khaniki H
    Asian Pac J Cancer Prev, 2015;16(4):1337-41.
    PMID: 25743795
    BACKGROUND: Breast cancer is the most common cancer and the second principal cause of cancer deaths among women worldwide, including Malaysia. This study focused on media choice and attempted to determine the communication channels mostly used and preferred by women in seeking information and knowledge about breast cancer.

    MATERIALS AND METHODS: A cross sectional study was carried out to examine the breast cancer prevention information seeking behavior among 450 students at one private university in Malaysia.

    RESULTS: The mean age of respondents was 25±4.3 years. Common interpersonal information sources were doctors, friends, and nurses and common channel information sources were television, brochure, and internet. Overall, 89.9% used cell phones, 46.1% had an interest in receiving cell phone breast cancer prevention messages, 73.9% used text messaging, and 36.7% had an interest in receiving text breast cancer prevention messages. Bivariate analysis revealed significant differences among age, eduation, nationality and use of cell phones.

    CONCLUSIONS: Assessment of health information seeking behavior is important for community health educators to target populations for program development.

    Matched MeSH terms: Text Messaging/statistics & numerical data*
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