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In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

This work is of theoretical and practical importance, that is, generation of new knowledge associated with mobile commerce adoption in terms of security concerns and trust which will help not only future researchers but also e-businesses. Despite the fact researchers have examined the adoption of m-commerce in a holistic way, the author found there was no research focusing solely and in-depth on the determinants of trust and perceived risk. The problem was to examine how the above determinants affect the intention to adopt m-commerce. The objects are mobile commerce, security concerns and trust. The purpose of this study is twofold, namely, empirical and explanatory. As for the objectives, it was necessary to review the literature, propose a research model, analyze the results, and verify or reject the proposed hypotheses. When it comes to the hypotheses, there was a test on whether trust, perceived risk, perceived usefulness, and perceived ease of use negatively or positively affect the constructs of the proposed model. The author used theoretical and empirical collection methods. As for the theoretical ones, analogy, generalization and modeling methods were used. Concerning the empirical ones, due to the fact that quantitative approach was chosen, a survey instrument, that is, questionnaire was used. After the results had been collected, SPSS 22 was used to perform descriptive data analysis of Likert summative scales. At last, the results along with the research limitations were discussed. The final outcome of this study was to confirm all the proposed hypotheses. As for the conclusions, the perception of risk in terms of privacy, m-payments, m-commerce legislation and quality of delivered products has negative effect in the intention to use mobile commerce. Additionally, trust elements such as good reputation, enticing promises, good encryption security and transparency, reduce the perception of risk and increase the intention to use m-commerce. Also, the availability of policies that are easy to understand and find, has positive effect in the intention to use m-commerce. Last, but not least, when customers feel free of risks and have high level of trust in the intention to use mobile commerce they actually adopt it.

This work is of theoretical and practical importance, that is, generation of new knowledge associated with mobile commerce adoption in terms of security concerns and trust which will help not only future researchers but also e-businesses. Despite the fact researchers have examined the adoption of m-commerce in a holistic way, the author found there was no research focusing solely and in-depth on the determinants of trust and perceived risk. The problem was to examine how the above determinants affect the intention to adopt m-commerce. The objects are mobile commerce, security concerns and trust. The purpose of this study is twofold, namely, empirical and explanatory. As for the objectives, it was necessary to review the literature, propose a research model, analyze the results, and verify or reject the proposed hypotheses. When it comes to the hypotheses, there was a test on whether trust, perceived risk, perceived usefulness, and perceived ease of use negatively or positively affect the constructs of the proposed model. The author used theoretical and empirical collection methods. As for the theoretical ones, analogy, generalization and modeling methods were used. Concerning the empirical ones, due to the fact that quantitative approach was chosen, a survey instrument, that is, questionnaire was used. After the results had been collected, SPSS 22 was used to perform descriptive data analysis of Likert summative scales. At last, the results along with the research limitations were discussed. The final outcome of this study was to confirm all the proposed hypotheses. As for the conclusions, the perception of risk in terms of privacy, m-payments, m-commerce legislation and quality of delivered products has negative effect in the intention to use mobile commerce. Additionally, trust elements such as good reputation, enticing promises, good encryption security and transparency, reduce the perception of risk and increase the intention to use m-commerce. Also, the availability of policies that are easy to understand and find, has positive effect in the intention to use m-commerce. Last, but not least, when customers feel free of risks and have high level of trust in the intention to use mobile commerce they actually adopt it.

In this article the author analysis certain issues of application of the European payment order procedure. Relationship between the rules established in the European Union legal instrument – the regulation – and national civil procedure norms is discussed as far as they concern procedural requirements for document instituting the proceedings. Amenability of applications for issuing the European payment order is surveyed. The author proposes certain changes in legal regulation.

In this article the author analysis certain issues of application of the European payment order procedure. Relationship between the rules established in the European Union legal instrument – the regulation – and national civil procedure norms is discussed as far as they concern procedural requirements for document instituting the proceedings. Amenability of applications for issuing the European payment order is surveyed. The author proposes certain changes in legal regulation.

In this article the author analysis certain issues of application of the European payment order procedure. Relationship between the rules established in the European Union legal instrument – the regulation – and national civil procedure norms is discussed as far as they concern procedural requirements for document instituting the proceedings. Amenability of applications for issuing the European payment order is surveyed. The author proposes certain changes in legal regulation.

In this article the author analysis certain issues of application of the European payment order procedure. Relationship between the rules established in the European Union legal instrument – the regulation – and national civil procedure norms is discussed as far as they concern procedural requirements for document instituting the proceedings. Amenability of applications for issuing the European payment order is surveyed. The author proposes certain changes in legal regulation.

The way young people obtain political information and engage with political content has changed since the new media technologies have emerged on a large scale. Starting with a discussion of different roles of online media in the transformation of political engagement, this article analyzes political engagement from the perspectives of political interest and participation in the context of new forms of online interaction. Findings from a national survey in Lithuania (n = 412, age 18 to 22) reveal the main sources and channels through which young people receive political information and news. The result of the study shows the importance of the Internet as a political information channel for the young people, however, the use of social media and other online channels for political engagement has been discovered to be low, especially with regard to two-way interactions with politicians or political parties.

The way young people obtain political information and engage with political content has changed since the new media technologies have emerged on a large scale. Starting with a discussion of different roles of online media in the transformation of political engagement, this article analyzes political engagement from the perspectives of political interest and participation in the context of new forms of online interaction. Findings from a national survey in Lithuania (n = 412, age 18 to 22) reveal the main sources and channels through which young people receive political information and news. The result of the study shows the importance of the Internet as a political information channel for the young people, however, the use of social media and other online channels for political engagement has been discovered to be low, especially with regard to two-way interactions with politicians or political parties.

The way young people obtain political information and engage with political content has changed since the new media technologies have emerged on a large scale. Starting with a discussion of different roles of online media in the transformation of political engagement, this article analyzes political engagement from the perspectives of political interest and participation in the context of new forms of online interaction. Findings from a national survey in Lithuania (n = 412, age 18 to 22) reveal the main sources and channels through which young people receive political information and news. The result of the study shows the importance of the Internet as a political information channel for the young people, however, the use of social media and other online channels for political engagement has been discovered to be low, especially with regard to two-way interactions with politicians or political parties.

The way young people obtain political information and engage with political content has changed since the new media technologies have emerged on a large scale. Starting with a discussion of different roles of online media in the transformation of political engagement, this article analyzes political engagement from the perspectives of political interest and participation in the context of new forms of online interaction. Findings from a national survey in Lithuania (n = 412, age 18 to 22) reveal the main sources and channels through which young people receive political information and news. The result of the study shows the importance of the Internet as a political information channel for the young people, however, the use of social media and other online channels for political engagement has been discovered to be low, especially with regard to two-way interactions with politicians or political parties.