The Impact of Twitter Features on Credibility Ratings - An Explorative Examination Combining Psychological Measurements and Feature Based Selection Methods

In a post-truth age determined by Social Media channels providing large amounts of information of questionable credibility while at the same time people increasingly tend to rely on online information, the ability to detect whether content is believable is developing into an important challenge. Most of the work in that field suggested automated approaches to perform binary classification to determine information veracity. Recipients´ perspectives and multidimensional psychological credibility measurements have rarely been considered. To fill this gap and gain more insights into the impact of a tweet´s features on perceived credibility, we conducted a survey asking participants (N=2626) to rate the credibility of crises related tweets. The resulting 24.823 ratings were used for an explorative feature selection analysis revealing that mostly meta-related features like the number of followers of the author, the count of tweets produced and the ratio of tweet number and days since account creation affect credibility judgements

Analyzing the capabilities of crowdsourcing services for text summarization

This paper presents a detailed analysis of the use of crowdsourcing services for the Text Summarization task in the context of the tourist domain. In particular, our aim is to retrieve relevant information about a place or an object pictured in an image in order to provide a short summary which will be of great help for a tourist. For tackling this task, we proposed a broad set of experiments using crowdsourcing services that could be useful as a reference for others who want to rely also on crowdsourcing. From the analysis carried out through our experimental setup and the results obtained, we can conclude that although crowdsourcing services were not good to simply gather gold-standard summaries (i.e., from the results obtained for experiments 1, 2 and 4), the encouraging results obtained in the third and sixth experiments motivate us to strongly believe that they can be successfully employed for finding some patterns of behaviour humans have when generating summaries, and for validating and checking other tasks. Furthermore, this analysis serves as a guideline for the types of experiments that might or might not work when using crowdsourcing in the context of text summarization.This work was supported by the EU-funded TRIPOD project (IST-FP6-045335) and by the Spanish Government through the FPU program and the projects TIN2009-14659-C03-01, TSI 020312-2009-44, and TIN2009-13391-C04-01; and by Conselleria d’Educació–Generalitat Valenciana (grant no. PROMETEO/2009/119 and grant no. ACOMP/2010/286)

The challenging task of summary evaluation: an overview

Evaluation is crucial in the research and development of automatic summarization applications, in order to determine the appropriateness of a summary based on different criteria, such as the content it contains, and the way it is presented. To perform an adequate evaluation is of great relevance to ensure that automatic summaries can be useful for the context and/or application they are generated for. To this end, researchers must be aware of the evaluation metrics, approaches, and datasets that are available, in order to decide which of them would be the most suitable to use, or to be able to propose new ones, overcoming the possible limitations that existing methods may present. In this article, a critical and historical analysis of evaluation metrics, methods, and datasets for automatic summarization systems is presented, where the strengths and weaknesses of evaluation efforts are discussed and the major challenges to solve are identified. Therefore, a clear up-to-date overview of the evolution and progress of summarization evaluation is provided, giving the reader useful insights into the past, present and latest trends in the automatic evaluation of summaries.This research is partially funded by the European Commission under the Seventh (FP7 - 2007- 2013) Framework Programme for Research and Technological Development through the SAM (FP7-611312) project; by the Spanish Government through the projects VoxPopuli (TIN2013-47090-C3-1-P) and Vemodalen (TIN2015-71785-R), the Generalitat Valenciana through project DIIM2.0 (PROMETEOII/2014/001), and the Universidad Nacional de Educación a Distancia through the project “Modelado y síntesis automática de opiniones de usuario en redes sociales” (2014-001-UNED-PROY)

ADEA Claimant Can Retain Severance Payments and Sue Former Employer

Former employees can maintain claims under the Age Discrimination in Employment Act (ADEA) without first repaying the consideration received for an invalid release of claims. The Supreme Court\u27s pronouncement, Oubre v. Entergy Operations, Inc., 1988 U.S. Lexis 646 (Jan. 26, 1998), may change the way many employers negotiate and execute severance packages and settlements with terminated employees

The marine arthropods of Turkey

This recent checklist of marine arthropods found on the coasts of Turkey represents a total of 1531 species belonging to 7 classes: Malacostraca (766 species), Maxillopoda (437 species), Ostracoda (263 species), Pycnogonida (27 species), Arachnida (26 species), Branchiopoda (7 species), and Insecta (5 species). Seventy-fve species were classifed as alien species in the region. Tis paper also includes the frst record of the amphipod Melita valesi from the Levantine coast of Turkey (Kaş, Gulf of Antalya).This recent checklist of marine arthropods found on the coasts of Turkey represents a total of 1531 species belonging to 7 classes: Malacostraca (766 species), Maxillopoda (437 species), Ostracoda (263 species), Pycnogonida (27 species), Arachnida (26 species), Branchiopoda (7 species), and Insecta (5 species). Seventy-fve species were classifed as alien species in the region. Tis paper also includes the frst record of the amphipod Melita valesi from the Levantine coast of Turkey (Kaş, Gulf of Antalya)

USFD at SemEval-2016 task 1: putting different state-of-the-arts into a box

© 2016 The Authors. Published by Association for Computational Linguistics. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: http://dx.doi.org/10.18653/v1/S16-1092Aker, A., Blain, F., Duque, A., Fomicheva, M. et al. (2016) USFD at SemEval-2016 task 1: putting different state-of-the-arts into a box. In, Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), Bethard, S., Carpuat, M., Cer, D., Jurgens, D. et al. (eds.) Stroudsburg, PA: Association for Computational Linguistics, pp. 609-613.The research leading to these results has received funding from the EU - Seventh Framework Program (FP7/2007-2013) under grant agreement n610916 SENSEI

Birinci basamak hekimlerinin şizofreniye bakış açısı

Amaç: Türkiye'deki birinci basamak hekimlerinin şizofreni ve tedavisine yaklaşımı ile ilgili bilgi, eğilim ya da algılamalarının saptanması ve bunu etkileyen etmenlerin ortaya koyulması amacıyla planlanan bu araştırma Psikiyatrik Araştırmalar ve Eğitim Merkezi Derneği (PAREM) tarafından yapılmıştır. Yöntem: Araştırma Adana, İstanbul, Trabzon, Diyarbakır ve Bolu'da yürütülmüştür. İllerin seçimi Devlet İstatistik Enstitüsü'nün gelişmişlik sınıflaması, çalışan psikiyatrist sayısı ve farklı coğrafi bölgeler dikkate alınarak yapılmıştır. İl ve ilçe merkezlerinde çalışan pratisyen hekimler araştırmaya alınmıştır. Uygulanan ankette, şizofreni ve depresyona karşı bilgi, algı ve eğilimleri ölçmek için 60 item yer almakta olup, her item için "katılıyorum", "katılmıyorum" ve "fikrim yok" şeklinde 3 yanıt kategorisi belirtilmiştir. Seçilmiş bölgelerdeki hekimleri ziyaret ederek, yüz yüze görüşmeler yaparak, her ilde 1 olmak üzere toplam 5 anketör anketleri uygulamıştır. Araştırmada 123 sağlık ocağında çalışan 300 birinci basamak hekimine anket uygulanmıştır, Anketin uygulandığı sağlık ocaklarında bulunan 55 hekim anketi uygulamayı reddetmiştir. Sonuçlar: Anketin uygulandığı hekimlerin %58.7'si erkek, %41.3'ü kadındır. Araştırmaya alınan hekimlerin yaş ortalamaları 31.4, ortalama olarak çalışma süreleri 6.5 yıl, bir hafta içerisinde gördükleri hasta sayısı 247.6, son bir hafta içinde gördükleri ortalama psikotik hasta sayısı ise 19.88'dir. Sonuçlara göre, hekimlerin büyük çoğunluğu şizofreniyi ruhsal bir zayıflık hali olarak görmekte ve %80'i şizofrenin tam olarak düzelmediğine inanmaktadır. Hekimlerin üçte birinden fazlası şizofreninin sosyal sorunlar nedeniyle ortaya çıktığına ve %26'sı şizofreninin iyileşmesi için sosyal sorunların çözülmesi gerektiğine inanmaktadır. Şizofrenide psikoterapinin yararlı olacağına inananların oranı ise %56.3'tür. Hekimlerin yarısından fazlası şizofrenlerin toplum içinde serbest dolaşmaması gerektiğine, saldırgan olduklarına, kendi hayattarı ile doğru kararlar alamayacaklarına inandıklarını belirtmişlerdir. Bu bulgular hekimlerin şizofreniye ilişkin stigmayı toplumla paylaştıklarını göstermektedir. Tartışma: Bulgular şizofreninin değerlendirilmesi ve kavranmasında hekimlerin bakış açılarının önemini ortaya koymaktadır. Hekimlerin de toplumun bakış açısına benzer bir şekilde şizofreniyi değerlendirdikleri görülmektedir. Şizofreni hastalığını daha fazla bilen ve hastalarla daha yakın ilişkide olan bu grubun etiketleyici bir düşünce içinde olması bu konuda yürütülecek çalışmaların kapsamının genişletilmesi konusunda uyarıcı olmaktadır