Hate Speech Towards Syrian Refugees in Turkish Online Reader Comments

2017 ◽  
pp. 127-142 ◽  
Author(s):  
Nurhan Kavaklı
Keyword(s):  
Hate Speech ◽  
Syrian Refugees ◽  
Web Page ◽  
Syrian Refugee ◽  
Negative Point ◽  
National Newspaper ◽  
Reader Comments ◽  
The Web

The aim of this study is to examine the hate speech in the reader comments towards Syrian refugee s in Turkey. Within the framework of this purpose, the reader comments made on the news about the violence towards a Syrian child, which took place on the web page of national newspaper Hürriyet, are analysed. It is hoped that, this study will help reveal the concerns or motives which lie behind the negative point of views and opinions towards Syrian refugees. Thus, it may make a contribution to determining the counter-strategies against the intolerance and hostility towards the refugees.

Bir güvensizlik ülkesi olarak Türkiye’nin mültecileri, Suriyeliler ve Türk mülteciler

2017 ◽  
Vol 4 (1) ◽  
pp. 21-40 ◽  
Author(s):  
Ibrahim Sirkeci
Keyword(s):  
European Union ◽  
Asylum Seekers ◽  
Military Coup ◽  
Syrian Refugees ◽  
Member States ◽  
Refugee Population ◽  
Syrian Crisis ◽  
Syrian Refugee ◽  
Generous Support ◽  
The Eu

Doğu ve güney komşuları üzerinde gelen göç akınlarının ve üye ülkeler arasındaki göçlerin artışıyla Avrupa Birliği (AB) en büyük krizlerinden birini yaşamaktadır. Avrupa’daki en ana tartışma konuları arasında Avrupa’ya göçü ve AB içindeki göçü sınırlamak ve üye ülkeler arasında mülteci kotası ve külfet paylaşımına yapılan itirazlar yer aldı. Bu krizde Türkiye anahtar ülke olarak ortaya çıktı ve ülkedeki büyük Suriyeli mülteci nüfusu ve bu nüfusun Avrupa’ya gitmesini engellemesi karşılığında vaat edilen milyarlarca Avro nedeniyle tartışmaların odağında yer aldı. Suriye krizi 4,8 milyon mülteci yarattı ve 2016 yılı sonu itibariyle bunların 2,8 milyonu Türkiye’de ikamet etmekteydi. Suriyeli mültecilere karşı cömert tavrıyla Türkiye güvenli bir ülke olarak tescil edilmiş oldu. Bu, hikayenin daha karanlık bir başka yüzünü gölgelemektedir. Çünkü aynı ülkenin vatandaşları 1980 askeri darbesinden bu yana milyonu aşkın sığınma başvurusu yaptılar. Ülkenin bugünkü şartları ve yeni veriler, Türkiye’den AB’ye yönelen daha çok mülteci akını olacağını gösteriyor. ABSTRACT IN ENGLISHTurkey’s refugees, Syrians and refugees from Turkey: a country of insecurityThe European Union (EU) has faced one of its biggest crises with the rise of population inflows through its Eastern and Southern neighbours as well as movements within the Union. In 2016, the main debate that dominated Europe was on restricting migration within and into the EU along with concerns and objections to the refugee quota systems and the sharing of the burden among member states. Turkey emerged as a ‘gate keeper’ in this crisis and has since been at the centre of debates because of the large Syrian refugee population in the country and billions of Euros it was promised to prevent refugees travelling to Europe. The Syrian crisis produced over 4.8 million refugees with over 2.8 million were based in Turkey by the end of 2016. Turkey with its generous support for Syrian refugees has been confirmed as a ‘country of security’. This shadows the darker side of affairs as the very same country has also produced millions of asylum seekers since the 1980 military coup. Current circumstances and fresh evidence indicate that there will be more EU bound refugees coming through and from Turkey. 

New species list of plants and lichens of Russia for Turboveg for Windows

2020 ◽  
pp. 151-156
Author(s):  
A. P. Korablev ◽  
N. S. Liksakova ◽  
D. M. Mirin ◽  
D. G. Oreshkin ◽  
P. G. Efimov
Keyword(s):  
New Species ◽  
Vascular Plants ◽  
Russian Literature ◽  
Web Page ◽  
Species List ◽  
Internet Resources ◽  
The World ◽  
A New Species ◽  
The Web

A new species list of plants and lichens of Russia and neighboring countries has been developed for Turboveg for Windows, the program, intended for storage and management of phytosociological data (relevés), is widely used all around the world (Hennekens, Schaminée, 2001; Hennekens, 2015). The species list is built upon the database of the Russian website Plantarium (Plantarium…: [site]), which contains a species atlas and illustrated an online Handbook of plants and lichens. The nomenclature used on Plantarium was originally based on the following issues: vascular plants — S. K. Cherepanov (1995) with additions; mosses — «Flora of mosses of Russia» (Proect...: [site]); liverworts and hornworts — A. D. Potemkin and E. V. Sofronova (2009); lichens — «Spisok…» G. P. Urbanavichyus ed. (2010); other sources (Plantarium...: [site]). The new species list, currently the most comprehensive in Turboveg format for Russia, has 89 501 entries, including 4627 genus taxa compare to the old one with 32 020 entries (taxa) and only 253 synonyms. There are 84 805 species and subspecies taxa in the list, 37 760 (44.7 %) of which are accepted, while the others are synonyms. Their distribution by groups of organisms and divisions are shown in Table. A large number of synonyms in the new list and its adaptation to work with the Russian literature will greatly facilitate the entry of old relevé data. The ways of making new list, its structure as well as the possibilities of checking taxonomic lists on Internet resources are considered. The files of the species list for Turboveg 2 and Turboveg 3, the technique of associating existing databases with a new species list (in Russian) are available on the web page https://www.binran.ru/resursy/informatsionnyye-resursy/tekuschie-proekty/species_list_russia/.

Legal Protection of the Web Page as a Database

2009 ◽  
Author(s):  
Mirko Luca Lobina ◽  
Davide Mula
Keyword(s):  
Legal Protection ◽  
Web Page ◽  
The Web

scholarly journals A Sign of Things to Come: Predicting the Perception of Above-the-Fold Time in Web Browsing

2021 ◽  
Vol 13 (2) ◽  
pp. 50
Author(s):  
Hamed Z. Jahromi ◽  
Declan Delaney ◽  
Andrew Hines
Keyword(s):  
Web Application ◽  
Web Applications ◽  
State Of The Art ◽  
Influencing Factor ◽  
The State ◽  
Experimental Result ◽  
Web Page ◽  
To Come ◽  
Web Quality ◽  
The Web

Content is a key influencing factor in Web Quality of Experience (QoE) estimation. A web user’s satisfaction can be influenced by how long it takes to render and visualize the visible parts of the web page in the browser. This is referred to as the Above-the-fold (ATF) time. SpeedIndex (SI) has been widely used to estimate perceived web page loading speed of ATF content and a proxy metric for Web QoE estimation. Web application developers have been actively introducing innovative interactive features, such as animated and multimedia content, aiming to capture the users’ attention and improve the functionality and utility of the web applications. However, the literature shows that, for the websites with animated content, the estimated ATF time using the state-of-the-art metrics may not accurately match completed ATF time as perceived by users. This study introduces a new metric, Plausibly Complete Time (PCT), that estimates ATF time for a user’s perception of websites with and without animations. PCT can be integrated with SI and web QoE models. The accuracy of the proposed metric is evaluated based on two publicly available datasets. The proposed metric holds a high positive Spearman’s correlation (rs=0.89) with the Perceived ATF reported by the users for websites with and without animated content. This study demonstrates that using PCT as a KPI in QoE estimation models can improve the robustness of QoE estimation in comparison to using the state-of-the-art ATF time metric. Furthermore, experimental result showed that the estimation of SI using PCT improves the robustness of SI for websites with animated content. The PCT estimation allows web application designers to identify where poor design has significantly increased ATF time and refactor their implementation before it impacts end-user experience.

scholarly journals A Web Interface for Analyzing Hate Speech

2021 ◽  
Vol 13 (3) ◽  
pp. 80
Author(s):  
Lazaros Vrysis ◽  
Nikolaos Vryzas ◽  
Rigas Kotsakis ◽  
Theodora Saridou ◽  
Maria Matsiola ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Graphical User Interface ◽  
Hate Speech ◽  
Web Interface ◽  
Learning Models ◽  
Speech Detection ◽  
Media Services ◽  
The Web ◽  
Machine Learning Models

Social media services make it possible for an increasing number of people to express their opinion publicly. In this context, large amounts of hateful comments are published daily. The PHARM project aims at monitoring and modeling hate speech against refugees and migrants in Greece, Italy, and Spain. In this direction, a web interface for the creation and the query of a multi-source database containing hate speech-related content is implemented and evaluated. The selected sources include Twitter, YouTube, and Facebook comments and posts, as well as comments and articles from a selected list of websites. The interface allows users to search in the existing database, scrape social media using keywords, annotate records through a dedicated platform and contribute new content to the database. Furthermore, the functionality for hate speech detection and sentiment analysis of texts is provided, making use of novel methods and machine learning models. The interface can be accessed online with a graphical user interface compatible with modern internet browsers. For the evaluation of the interface, a multifactor questionnaire was formulated, targeting to record the users’ opinions about the web interface and the corresponding functionality.

The Research of the Accessibility Website Design Based on Web Log Mining

2012 ◽  
Vol 241-244 ◽  
pp. 2779-2782
Author(s):  
Heng Yao Tang ◽  
Xiao Yan Zhan
Keyword(s):  
Website Design ◽  
Web Log Mining ◽  
Web Page ◽  
Web Log ◽  
User Interests ◽  
Mining Technique ◽  
Dynamic Web ◽  
Log Mining ◽  
The Web

On the problems existing in the realization of current accessibility website, we design a web designing architecture, using the web log mining technique to extract user interests and access priority sequence and adopting the dynamic web page information to fill the web page commonly used structure, realize the intelligent , personalized accessibility.

Web Page Ranking Algorithm Based on the Meta-Information

2014 ◽  
Vol 596 ◽  
pp. 292-296
Author(s):  
Xin Li Li
Keyword(s):  
Experimental Results ◽  
High Rank ◽  
Ranking Algorithm ◽  
Web Page ◽  
Page Ranking ◽  
Two Factors ◽  
Meta Information ◽  
The Web

PageRank algorithms only consider hyperlink information, without other page information such as page hits frequency, page update time and web page category. Therefore, the algorithms rank a lot of advertising pages and old pages pretty high and can’t meet the users' needs. This paper further studies the page meta-information such as category, page hits frequency and page update time. The Web page with high hits frequency and with smaller age should get a high rank, while the above two factors are more or less dependent on page category. Experimental results show that the algorithm has good results.

Exploring the customer orientation of Spanish pharmacy websites

2018 ◽  
Vol 12 (4) ◽  
pp. 447-462 ◽  
Author(s):  
Carmen Domínguez-Falcón ◽  
Domingo Verano-Tacoronte ◽  
Marta Suárez-Fuentes
Keyword(s):  
Web 2.0 ◽  
Customer Orientation ◽  
Community Pharmacies ◽  
Web Pages ◽  
Web Page ◽  
Pharmaceutical Sector ◽  
Content Type ◽  
Web Page Design ◽  
Page Design ◽  
The Web

Purpose The strong regulation of the Spanish pharmaceutical sector encourages pharmacies to modify their business model, giving the customer a more relevant role by integrating 2.0 tools. However, the study of the implementation of these tools is still quite limited, especially in terms of a customer-oriented web page design. This paper aims to analyze the online presence of Spanish community pharmacies by studying the profile of their web pages to classify them by their degree of customer orientation. Design/methodology/approach In total, 710 community pharmacies were analyzed, of which 160 had Web pages. Using items drawn from the literature, content analysis was performed to evaluate the presence of these items on the web pages. Then, after analyzing the scores on the items, a cluster analysis was conducted to classify the pharmacies according to the degree of development of their online customer orientation strategy. Findings The number of pharmacies with a web page is quite low. The development of these websites is limited, and they have a more informational than relational role. The statistical analysis allows to classify the pharmacies in four groups according to their level of development Practical implications Pharmacists should make incremental use of their websites to facilitate real two-way communication with customers and other stakeholders to maintain a relationship with them by having incorporated the Web 2.0 and social media (SM) platforms. Originality/value This study analyses, from a marketing perspective, the degree of Web 2.0 adoption and the characteristics of the websites, in terms of aiding communication and interaction with customers in the Spanish pharmaceutical sector.

Calendar of Meetings and Courses

2005 ◽  
Vol 11 (3) ◽  
pp. 278-281 ◽  
Keyword(s):  
World Wide Web ◽  
World Wide ◽  
Web Page ◽  
Additional Information ◽  
Electronic Submission ◽  
Submission Form ◽  
The Web

Following is a list of microscopy-related meetings and courses. The editors would greatly appreciate input to this list via the electronic submission form found in the MSA World-Wide Web page at http://www.msa.microscopy.com. We will gladly add hypertext links to the notice on the web and insert a listing of the meeting in the next issue of the Journal. Send comments and questions to JoAn Hudson, [email protected] or Nestor Zaluzec, [email protected]. Please furnish the following information (any additional information provided will be edited as required and printed on a space-available basis):

scholarly journals A Web Page Clustering Method Based on Formal Concept Analysis

Information ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 228 ◽  
Author(s):  
Zuping Zhang ◽  
Jing Zhao ◽  
Xiping Yan
Keyword(s):  
Formal Concept Analysis ◽  
Concept Lattice ◽  
Concept Analysis ◽  
Formal Context ◽  
Formal Concept ◽  
Web Pages ◽  
Web Page ◽  
Data Links ◽  
Web Page Clustering ◽  
The Web

Web page clustering is an important technology for sorting network resources. By extraction and clustering based on the similarity of the Web page, a large amount of information on a Web page can be organized effectively. In this paper, after describing the extraction of Web feature words, calculation methods for the weighting of feature words are studied deeply. Taking Web pages as objects and Web feature words as attributes, a formal context is constructed for using formal concept analysis. An algorithm for constructing a concept lattice based on cross data links was proposed and was successfully applied. This method can be used to cluster the Web pages using the concept lattice hierarchy. Experimental results indicate that the proposed algorithm is better than previous competitors with regard to time consumption and the clustering effect.

Sign in / Sign up

Export Citation Format

Share Document