CFP: 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010)

Forty Eigth Annual Meeting of the Association for Computational Linguistics
Uppsala, Sweden, July 11-16, 2010

The Annual Meeting of the Association for Computational Linguistics (ACL) is the flagship conference for research on language and computation. The 48th Annual Meeting of the ACL (ACL 2010) seeks
submission of papers on original and unpublished research in all areas of computational linguistics, broadly conceived to include areas such as psycholinguistics, speech, information retrieval, multimodal language processing, and language issues in emerging domains such as bioinformatics. In addition, we want to stress that both theoretical, as well as practical and empirical papers, are sought for the conference.

ACL 2010 has the goal of a broad technical program. Thus, ACL 2010 invites papers in the following categories:

• Research papers

• • theoretical computational linguistics
  • empirical/data-driven approaches
  • paradigms/techniques/strategies
  • resources and evaluation
  • applications/systems
  • negative result (report of a sensible experiment or approach that failed to achieve the desired results)

• Survey papers (new emerging area, field relevant to computational linguistics, etc.)
• Position papers (we are particularly soliciting papers co-authored by two individuals with opposing positions, though single-authored papers are welcome)
• Challenge papers (a challenge to the field in terms of setting out a goal for the next 5/10/20 years)

IMPORTANT DATES:

• Feb 8, 2010 Abstracts due (not mandatory), both long and short papers
• Feb 15, 2010 Paper submissions due, both long and short papers (submission deadline is 11:59pm Pacific Standard Time)
• April 23, 2010 Notification of acceptance
• May 16, 2010 Camera-ready copy due
• July 11-16, 2010 - ACL 2010

TOPICS OF INTEREST:

Topics include, but are not limited to:

• Discourse, dialogue, and pragmatics
• Grammar engineering
• Information extraction
• Information retrieval
• Knowledge acquisition
• Large scale language processing
• Language generation
• Language processing in domains such as bioinformatics, legal, medical, etc.
• Language resources, evaluation methods and metrics, science of annotation
• Lexical/ontological/formal semantics
• Machine translation
• Mathematical linguistics, grammatical formalisms
• Mining from textual and spoken language data
• Multilingual language processing
• Multimodal language processing (including speech, gestures, and other communication media)
• NLP applications and systems
• NLP on noisy unstructured text, such as emails, blogs, sms
• Phonology/morphology, tagging and chunking, word segmentation
• Psycholinguistics
• Question answering
• Semantic role labeling
• Sentiment analysis and opinion mining
• Spoken language processing
• Statistical and machine learning methods
• Summarization
• Syntax, parsing, grammar induction
• Text mining
• Textual entailment and paraphrasing
• Topic and text classification
• Word sense disambiguation

Clustering visualization and Google Image Swirl

Clustering (also known as unsupervised classification) is to classify items according to an unknown classes or categories. Basically, given a set of items, a clustering tool tries to build a set of (possibly hierarchical) groups that provide insights on the underlying distributions of the considered objects. Usually the goal is to maximize the similarity among the items in each group, while minimizing the similarity among different groups.

For a clustering tool to be effective, two main issues have to be solved:

• The clustering technology must be effective, that is, it has to build sensible groups. The clustering technology depends on:
• • The characterization (in terms of considered features) of the objects
  • The definition of the similarity between objects
  • The similarity between groups
  • The clustering algorithm
• The clustering technology must be supported by a suitable visualization tool, an interface that implements some metaphor that makes group inspection and management simple and task-oriented.

Over the years I have been working on text classification, I have stepped over a number of research papers on clustering. Most of them happen to focus, nearly 100%, on the clustering technology. Exceptions include one of the researchers I follow, Marti Hearst. However, the second issue is in my opinion something critical. The perfect technology will stay on the research shelf until you happen to find the correct visualization technique that makes the system successful.

Recently I went through Google Image Swirl, a new demo at Google Labs, received via FB via Twitter (thanks, Jose Carlos). This tool allows to hierarchically cluster and navigate images according to their similarity computed using text, visual and other features. But, what really has hit me is the visualization tool, shown in the following picture:

This visualization begins showing a set of picture piles. Once you selected one, the rest go to background and the selected one expands to a circle that contains one picture and another set of piles related (and connected) to it. You can keep on selecting piles up to you happen to get a "one picture group". Previous inspected groups are in the background, active, on a spiral shape. Interesting features of this tool are:

• Animation is smooth, clear, and at the correct speed.
• The path is also clear and active, providing a suitable context and the ability to go back to any step of the process.

The only limitation I see is that you have only one active inspection path; but more than a limitation, it is a feature: I do not see how to keep with the spiral if you go from a path to a tree of several options in the foreground.

Just compare this visualization tool with Scatter-Gather, by Hearst, several (many) years ago, for a similar problem on text:

The main difference is that Hearst had to manage text, with two problems: how to visually represent a text document, and how to represent a cluster or group (apart from obvious visualization limitations of that nearly pre-Web era...). I believe that most of this metaphor can be applied to the inspection of a text hierarchy (either of clusters or of categories), once you have found how to represent a text item.

Ideas?

CFP: 23rd International Conference on Computational Linguistics (COLING 2010)

The 23rd International Conference on Computational Linguistics (COLING 2010)
August 23 - 27, 2010, Beijing, China

COLING 2010, the 23rd International Conference on Computational Linguistics, is being organized by the Chinese Information Processing Society of China (CIPS) and will be held in Beijing, China on August 23-27th, 2010 under the auspices of the International Committee on Computational Linguistics (ICCL) . They look forward to welcoming you to Beijing, the cultural, educational, and political capital of China, and the proud host of the 2008 Olympics.

COLING will cover a broad spectrum of technical areas related to natural language and computation. The conference will include full papers, oral presentations, poster presentations, demonstrations, tutorials, and workshops. They invite the submission of papers on original and unpublished research on all aspects of computational linguistics. More details will be available closer to the April 19, 2010 submission deadline.

Important Dates:

• Apr 19, 2010 Full paper submissions due (Main conference)
• May 28, 2010 Acceptance notification of main conference
• May 30, 2010 Submission deadline for workshop papers
• Jun 30, 2010 Acceptance notification of workshop papers
• Jul 2, 2010 Camera-ready full papers due (Main conference)
• Jul 10, 2010 Camera-ready full papers due (Workshops)
• Aug 21-22, 2010 Pre-COLING(Collocating conferences/workshops)
• Aug 23-27, 2010 COLING 2010 Main Conference
• Aug 28, 2010 Post-COLING (one-day workshops)

Topics include, but are not limited to:

• Syntax, semantics, grammar, and the lexicon
• Lexical semantics and ontologies
• Phonology/morphology, word segmentation, and tagging
• Summarization
• Language generation
• Paraphrasing and textual entailment
• Parsing and chunking
• Spoken language processing, understanding and speech-to-speech translation
• Linguistic, psychological and mathematical models of language
• Computational pragmatics
• Dialogue and conversational agents
• Computational models of discourse
• Information retrieval
• Question answering
• Word sense disambiguation
• Information extraction and text mining
• Semantic role labeling
• Sentiment analysis and opinion mining
• Corpus-based modeling of language
• Machine translation and translation aids
• Multilingual processing
• Multimodal systems and representations
• Statistical and machine learning methods
• Applications
• Corpus development and language resources
• Evaluation methods and user studies

Porn video detecion solved

During the latest years, a number of research papers have been published on porn image detection by content analysis (that is, by processing the images themselves instead of using collateral information like surrounding text, tags, etc.). There is a selection at my library at CiteULike. Most of these papers use color & textures in order to detect skin areas at pictures, and eventually improve their results by performing shape recognition at some level.

There is an increasing interest on detecting porn videos also. There are several papers on this also. However, I thought that the state of the art was far from the following demo I have been able to find. It is a very sophisticate video analysis implemented as a parental control in Terra Brazil, and I am sure its revolutionary analysis techniques are nearly perfect. Click on the picture to launch the demo:

Now I have to leave this field, everything is done at it :_(

Last tweet :-)

Fourteenth Conference on Computational Natural Language Learning, CoNLL-2010

Fourteenth Conference on Computational Natural Language Learning, CoNLL-2010
Uppsala, Sweden
July 15-16, 2010

CoNLL is the yearly international conference on natural language learning organized by SIGNLL (the ACL Special Interest Group on Natural Language Learning). This year, CoNLL will be collocated with ACL 2010 in Uppsala, Sweden.

Important Dates

• Paper submission deadline: March 8, 2010, 23:59 GMT
• Notification of acceptance: April 15
• Camera-ready copy deadline: May 6
• Conference: July 15-16

Topics

The PC invites submission of papers about natural language learning topics including:

• Supervised, unsupervised and semi-supervised machine learning methods applied to natural language
• Computational models of human language acquisition and processing
• Optimisation methods and inference algorithms for natural language
• Active learning for natural language processing tasks
• Computational learning theory analysis of language learning
• Empirical and theoretical comparisons of language learning methods including novel evaluation methods
• Computational models of language evolution and historical change
• Algorithms for grammatical inference applied to natural language

Invited Speakers

• Lillian Lee (Cornell University)
• Zoubin Gharamani (University of Cambridge)

Special Topic of Interest

This year in CoNLL-2010 the special topic of interest is: Grammar induction

Shared Task

"Learning to detect hedges and their scope in natural language texts"

In Natural Language Processing (NLP) - in particular, in Information Extraction (IE) - many applications aim at extracting factual information from text. In order to distinguish facts from unreliable or uncertain information, linguistic devices such as hedges (indicating that authors do not or cannot back up their opinions/statements with facts) have to be identified. Applications should handle detected speculative parts in a different manner. Hedge detection has received considerable interest recently in the biomedical NLP community, including research papers addressing the detection of hedge devices in biomedical texts, and some recent work on detecting the in-sentence scope of hedge cues in text. Exploiting the hedge scope annotated BioScope corpus and publicly available Wikipedia texts, the goals of the Shared Task are 1) learning to detect hedge cues in natural language texts and 2) learning to resolve the in-sentence scope of hedge cues.

Fifteenth International Conference on Applications of Natural Language to Information Systems (NLDB, 2010)

Fifteenth International Conference on Applications of Natural Language to Information Systems (NLDB, 2010)
June 23-25, 2010, Cardiff University, Cardiff, Wales, UK

Since 1995, the NLDB conference has aimed at bringing together researchers, industrials and potential users interested in various applications of Natural Language in the Data Bases and Information System area. Natural Language Processing has become an important factor in the field of Information and Communication systems in the last years. It has contributed to both improving the development process from the viewpoints of the developers (e.g. the process of requirements engineering, conceptual modeling, validation etc.) and the usability of applications (e.g. natural language query interfaces, retrieval, semantic web etc.) To underline these inspiring connections, NLDB 2010 will take place from June 23 to June 25 in Cardiff (Wales).

Topics and Interest

NLDB 2010 invites researchers to submit papers on recent, unpublished research on all aspects of Natural Language Processing related to information systems. The Program Committee also encourages people from the industry to submit papers reporting on industrial Natural Language projects. Contributions are welcome in, but not limited to the following topics:

• Natural Language for Web Information-Intensive Services: Semantic Information Retrieval, Semantic Web, Semi-structured Models and Associated Languages, Web Usage, Content and Structure Mining for Discovering Semantics, Concept Taxonomies and Web Mining, Learning Taxonomies and Ontologies from the Web, Information Extraction with Machine Learning, Document Classification and Indexation Natural Language in Conceptual Modeling: Analysis of Natural Language Descriptions, Requirement Engineering, Terminological Ontologies, Paraphrasing, Dynamic Modeling, Verification, Consistency Checking, Metadata Harvesting
• Natural Language Interfaces for Data Base Querying/Retrieval: Natural Languages Interfaces for Data Base Querying, Verification of Data Base Queries by Paraphrasing, Semantic Analysis for Information retrieval, NL Interaction with Data Bases
• Natural-Language-Based Integration of Systems: Linguistic Aspects of View Integration, Linguistic Aspects of Data Warehouses, Natural Language Queries to Multi-databases systems, Data Integration and Data Cleansing, Ontology driven Integration, Ontology Management
• Large-Scale Online Linguistic Resources: Electronic Dictionaries, Question-Answer Corpora, Informal Ontologies, Linguistic Databases, Digital Libraries
• Applications of Computational Linguistics in Information Systems: Multilingual Information Systems, NLP in Requirements Engineering, NLP in Knowledge Management, Ontology driven NLP, Semiotics and Fundamentals
• Management of Textual Databases: Text Classification, Information Extraction and Detection, Text Mining for creating Metadata, Document Management, Hypertext and Hyperbases
• Natural Language on Data Warehouses (DW) and Data Mining (DM): Ontologies and Conceptual Modeling of DW's, Natural Language Interfaces for Modeling and/or Querying DW's, XML, Semistructured Document Data Warehouses, Intelligent Data Warehouses, Text Mining

Important Dates

• Paper submission: January 29, 2010
• Notification of acceptance: April 5, 2010
• Camera-Ready papers: April 19, 2010

Paper update

An update of my published papers:

Cortizo Pérez, J.C., Carrero García, F., Gómez Hidalgo, J.M., Monsalve Piqueras, B., Puertas Sanz, E. Introduction to Mining Social Media, 2009. In Proceedings of the 1st International Workshop on Mining Social Media, 13th Conference of the Spanish Association for Artificial Intelligence, Sevilla, Spain, November 9th, 2009.

Carrero García, F., Gómez Hidalgo, J.M., Monsalve Piqueras, B., Puertas Sanz, E., Cortizo Pérez, J.C. (Eds.). Proceedings of the 1st International Workshop on Mining Social Media, 13th Conference of the Spanish Association for Artificial Intelligence, Sevilla, Spain, November 9th, 2009.

Gómez Hidalgo, J.M. ChromeOS: el nuevo Sistema Operativo de Google para netbooks. Linux+ (ISSN: 1732-7121), Número 58, Octubre, 2009.

Gómez Hidalgo, J.M. Privacidad en Flickr. Linux+ (ISSN: 1732-7121), Número 53, Abril, 2009.

Gómez Hidalgo, J.M., Puertas Sanz, E., Carrero, F., Buenaga Rodríguez, M. de. Web Content Filtering. In (ed.) Marvin V. Zelkowitz, Advances in Computers (ISBN: 9780123744265), in press.

Gómez Hidalgo, J.M. Puertas Sánz, E. Filtrado de pornografía usando análisis de imagen. Linux+ (ISSN: 1732-7121), Número 51, Febrero, 2009.

CFP: Special Issue of International Journal of Electronic Commerce on Mining Social Media

CFP: Special Issue of International Journal of Electronic Commerce on Mining Social Media

Abstracts: 15 January 2010; Full papers: 15 April 2010

After the experience of organizing the First International Workshop on Social Media, we have been organizing a special issue of the IJEC (International Journal of Electronic Commerce) on Mining Social Media. Now we release the CFP hoping to receive high quality papers on Mining Social Media.

OVERVIEW

Recently, Forrester published a report, "The Future of the Social Web" where they sketched a timeline of the development of the Social Web, dividing its evolution in 5 eras. According to that report, the first era of the development of the Social Web started to explode the social relationships among users. Then, in the social functionality era, these social relationships resulted in the social functionality era where several websites started to add social functionalities in order to help users to interact with their peers. We are now in the era of Social Colonization, where technologies like Facebook Connect or Google Friend Connect have standardized social functionalities among websites and a vast majority of websites now include several social functionalities. Soon these federated identities will empower people to enter the era of social context with personalized and social content, and the development of tools for personalize social content will aim the development of the era of social commerce.

The primary goal of the proposed special issue of International Journal of Electronic Commerce is to foster research in the interplay between Social Media, Data Mining and Electronic Commerce, trying to reflect the actual developments on technologies that fit on the Social Context era.

SCOPE

The International Journal of Electronic Commerce is the #1-ranked journal on Electronic Commerce globally. This Special Issue will provide a significant opportunity for authors to publish important novel and original contributions in the area of Data Mining applied to Social Media. The guest editors seek papers and proposals that address various aspects of Mining Social Media, including recommender systems for social media, data mining algorithms designed to explode Social Networks, information management for Social Networks, etc.

RESEARCH QUESTIONS

We invite scholars and professionals from a broad range of disciplines to submit to this Special Issue. Papers may encompass any or all of the following: foundational theoretical analyses, modelling, simulation, and empirical studies. Authors may examine different aspects of mining social media in any of a variety of possible contexts. Special topics of interest include, but are not limited to, the following:

A. Data Mining for Social Networks

• Novel Algorithms
• Association Rules
• Mining semi-structured data
• Classification and Ranking
• Clustering
• Text Mining
• Machine Learning
• Privacy Preserved Data Mining
• Statistical Methods
• Temporal and spatial data mining
• Parallel and Distributed Data Mining
• Interactive and Online Mining Data and Knowledge Visualization
• Multimedia mining (audio/video)
• Ensemble Methods
• Web Mining
• Graph Mining
• Link Mining

B. Information Management for Social Networks

• Recommender Systems
• Information Retrieval
• Sentiment Analysis
• Natural Language Processing
• Question Answering
• Semantic Processing
• Graph Analysis and Complex Networks
• Social Network Analysis

C. Possible applications

• Electronic Commerce
• E-Mail Spam Detection
• Blog/Social Networks Spam Detection
• Community Detection
• Users/content recommenders
• Trends discovery
• Blogs/Social Networks Community Dynamics
• User Reviews Ranking
• Blogs/Social Networks Contributions Summarization
• Abuse/Fraud Detection
• User Profile Modelling
• Event Detection and Tracking in Social Media
• Online Advertising

SUBMISSION GUIDELINES

Manuscripts submitted to the special issue should contain original material not published in nor submitted to other journals. Each manuscript has to have a cover page with the author information and another page with title and abstract but the author information omitted. The review process is double-blind and papers which do not meet publication quality standards will be rejected before the review process.

Interested authors are required to submit extended abstracts of no more than two pages for their planned submissions. This will give the editorial team an opportunity to determine if a given submission is appropriate for expedited handling and review.

Full papers should be sent via e-mail to Jose Carlos Cortizo (josecarlos.cortizo@wipley.com) in anonymized PDF Format, not including any author names or affiliations, and should not exceed 40 pages.

IMPORTANT DATES

• Abstracts DeadLine: 15 January 2010
• Abstracts Feedback: 30 January 2010
• Full Paper Submission: 15 April 2010
• Revision Notification: 1 June 2010
• Revised Manuscripts: 1 August 2010
• Final Decision: 1 October 2010

Seguridad Twitter

Un correo recibido amablemente desde una dirección de administración de Twitter (twitter-resetpw-jmgo***=yah***@postmaster.twitter.com, los asteriscos los he puesto yo):

Si yo no he solicitado un recordatorio de contraseña, ¿porqué me mandan este correo? ¿Porque no me he logado hace X días? ¿Porque otro ha intentado hacerse con mi cuenta? Bueno, si es lo primero, no me gusta nada, y desde luego es una de las razones que explican la cantidad de spam que hay en Twitter, junto con otras como la reducción de direcciones que se utiliza para que quepa tu mcropost (y otros para ocultar una web con software malicioso), etc.

Opinion Mining applied to Scientific Literature

Before I read this interesting presentation by Simone Teufel at the Text Mining for Scholarly Communications and Repositories Joint Workshop held at the NACTEM, I did not realized how useful may be Sentiment Analysis and Opinion Mining applied to scientific literature.

Scientific papers are read by many people, with different profiles. You can be editing a journal, reviewing it for a conference, or informing yourself with respect to your research (among other things...). In each role, you may want to check an specific part of a paper: the one in which the technique is described, the related work one, the one which summarizes (and sells) the novel contribution, etc. Opinion Mining (with the specifics of scientific texts) can detect those sections you should read first, or which just act as a discharge summary of relevance for investing more time on the paper, for instance. The following paper is annotated with the semantic (scientific) functions:

The work by Teufel also focus on the analysis of citations. Used to support your work or mine, in contrast with it, etc? For instance, the following graph shows a paper, some of the citations and if they are supporting or contrasting:

I find it very interesting and potentially work-saving. Although as tools able to do this analysis go to e.g. Scientific Publishing market, there will be "adversaries" trying to take advantage of them in order to get some low quality papers accepted in journals and conferences... Another adversarial text classification problem!

Seminarios MAVIR: Peter Mika y Bing Liu 16-18/11/2009

SEMINARIOS MAVIR: Peter Mika y Bing Liu
Lunes 16, martes 17 y miércoles 18 de noviembre de 2009 en la UNED

Con motivo de la participación de Peter Mika y Bing Liu en las IV Jornadas MAVIR, se han organizado para los días previos un seminarios de carácter científico dirigidos a los alumnos de máster y a los investigadores del consorcio, que se celebrarán de lunes a miércoles por la tarde en la ETSI Industriales de la UNED.

TÍTULO: SearchMonkey, Micro-formats and Yahoo! APIs
PONENTE: Peter Mika (Yahoo! Research Barcelona)
HORARIO: lunes 16/11/2009 y martes 17/11/2009 a las 15h00

TÍTULO: Web Content Mining and NLP
PONENTE: Bing Liu (University of Illinois at Chicago)
HORARIO: miércoles 18/11/2009 a las 15h00

LUGAR DE CELEBRACIÓN:
Salón de Grados
ETSI Industriales, UNED
c/ Juan del Rosal, 12
28040 Madrid

Novática: Software libre para empresas y Referencias Autorizadas

El último número publicado (199, mayo-junio, 2009) de la revista Novática se encuentra disponible al completo para todo el público debido a su temática: software libre para empresas. Extraído del artículo El software libre en el mundo corporativo, escrito por Jesús M. Gonzalez-Barahona, Teófilo Romera Otero y Björn Lundell:

El software libre es un nuevo mundo en sí mismo tanto para las empresas como para los profesionales. Es por eso que comprender cómo encontrar oportunidades en él es cada vez más importante a medida que los productos de software libre se usan más y más en la industria del software y en otros sectores que dependen del software para sus actividades. En este texto, se exploran algunos de los nuevos aspectos que aparecen al aproximarse al software libre y cómo las empresas reaccionan a ellos.

Las Referencias Autorizadas de los últimos números también están disponibles en PDF en la web de Novática, incluyendo las de la sección de Acceso y Recuperación de Información, en la que colaboro con Manuel Maña:

• Número 199
• Número 198
• Número 197
• Número 196
• Número 195

First Spring School on Social Media Retrieval

The First Spring School on Social Media Retrieval will be held during February 22-25, 2010 in Interlaken, Switzerland. The event is organized by the EU PetaMedia Network of Excellence.

Application deadline: November 17, 2009.

Multimedia content has become ubiquitous on the web, creating new challenges for indexing, access, search and retrieval. At the same time, much of this content is made available on content sharing websites like YouTube or Flickr, or shared on social networks like Facebook. In such environments, the content is usually accompanied with metadata, tags, ratings, comments, information about the uploaders and their social network, etc.

Analysis of these "social media" shows a great potential in improving the performance of traditional multimedia information analysis/retrieval approaches by bridging the semantic gap between the "objective" multimedia content analysis and "subjective" users' needs and impressions. The integration of these aspects however is non-trivial and has created a vibrant, interdisciplinary field of research.

The Spring School on Social Media Retrieval aims at bringing together young researchers from neighboring disciplines, offering:

1. Lectures delivered by experts from academy and industry providing a clear and in-depth summary of state-of-the-art research in social media retrieval,
2. Collaborative projects in small groups providing hands-on experience on integrative work on selected problems from the field.

Scope:

• Content distribution over social/peer-to-peer networks
• Multimedia content analysis
• Automatic multimedia annotation/tagging
• Multimedia indexing/search/retrieval
• Implicit media tagging
• Social data analysis
• Collaborative tagging

Lecturers:

• Prof. Dr. Susanne Boll (University of Oldenburg, Germany)
• Dr. Ciro Cattuto (ISI Foundation, Turin, Italy)
• Prof. Dr. Ramesh Jain (University of California, Irvine, USA)
• Dr. Roelof van Zwol (Yahoo! Research Barcelona, Spain)

Nuevos canales de INTECO en Redes Sociales

Desde INTECO se han abierto nuevos canales en las diferentes redes sociales. El objetivo de estos canales es poder informar y concienciar a los usuarios con diferentes avisos de seguridad así como informar sobre cuestiones especificas de seguridad a través de estos canales, ampliando los canales tradicionales. En concreto se han abierto canales desde dos áreas de eConfianza:

• Desde INTECO-CERT, enfocado principalmente a un perfil de usuario medio / avanzado, administradores de sistemas, empresas, etc.
• Desde la Oficina de seguridad del internauta (OSI), enfocado principalmente a un perfil de usuario con conocimientos básicos en materia TIC.

Los nuevos canales que INTECO-CERT ha abierto son los siguientes:

• Youtube: desde donde podréis ver diferentes vídeos. Actualmente podéis ver un vídeo de difusión, pero también se incluirán pequeños vídeo-tutoriales sobre cuestiones relativas a la seguridad.
• Twitter: desde donde difundirán diferentes avisos de seguridad, así como cuestiones específicas de este canal.
• Facebook: desde donde podéis pasar a haceros "fan" del perfil. En esta web de INTECO-CERT también podréis ver avisos de seguridad, consejos de seguridad, y cuestiones específicas de este canal.

Los nuevos canales que desde la Oficina de seguridad del Internauta (OSI) ha abierto son los siguientes:

• Youtube, será el canal donde se publicarán los diferentes videos "virales" con un carácter de concienciación intentando encontrar similitudes entre la vida virtual y la real, os invitamos a visitar este canal y ver el video que tenemos publicado actualmente. También se incluirán video-tutoriales de cara a estos perfiles.
• Twitter, desde donde se lanzarán cuestiones básicas relativas a la seguridad de la información.
• Facebook, en este caso si tenéis una cuenta en Facebook, podéis haceros fan desde perfil. También servirá como canal para hacerse eco de avisos de seguridad importantes y consejos de seguridad básicos, etc