The Objectives of the study were to study the tourists social media exposure and their knowledge and attitudes towards cultural tourism in Bangkok Metropolitan. This research was quantitative methodology. The sample consisted of 400 tourists in Bangkok Metropolitan and used non-probability sampling by accidental random sampling. Data were collected through a questionnaire as the research instrument. The results of this study showed as follows: In terms of basic information the sample mostly travels with a family. The source of information were relatives friends acquaintances who have traveled to that location. In terms of exposure to social network the sample mostly exposed to social media via Facebook short messages via twitter online video via YouTube photo sharing via Instagram website via Wikipedia and Webboard via Pantip. The sample exposed to social media average of 1 hour during 1.00-6.59 pm. on a smartphone. The majority of the sample used social media at home searching for cultural tourism information at a high level. The highest mean is finding transportation. The sample receives cultural tourism information at a high level. The highest mean is exposure to information about arts crafts sculpture traditions and festivals. The most trustworthy social media is Youtube. The social media influence had a high level because fulfilling objectives such as tourist attraction accommodations restaurants travel etc. In terms of knowledge the sample had a high level of knowledge of cultural tourism. The area with the highest level of knowledge was increasing the diversity of cultural tourism such as heritage tourism art tourism urban culture tourism rural culture tourism creative tourism and Thai local wisdom. In terms of attitudes overall the sample gave the highest priority is security.

The objectives of this research were 1) to study attitude and advertising media exposure of the BTS passengers; 2) to compare the relationship between the BTS passengers’ demographic characteristics and their service behaviors; 3) to compare the differences of the BTS passengers’ demographic characteristics towards their advertising media exposure; and 4) to study the relationship of the passengers’ attitudes on the BTS in-trained advertisement with the BTS passengers’ advertising media exposure. The researcher randomly selected 400 participants through the Cluster sampling method by using the questionnaire as a data collection tool. The analytical statistics included standard deviation mean average and frequency distribution. The hypothesis testing included Chi-square T-Test F-Test (ANOVA) values testing and Pearson Prodcut Moment correlation coefficient. The study found that most respondents were single female at age between 21-30 years old obtained bachelor degree worked as employees of private organizations/state enterprises with an average of below THB 10000 monthly income. The average usage of the BTS service was once in a while during 06.00-09.00 am (Morning rush hour) for leisure purposes (traveling/shopping/personal business). The overall level of the BTS passengers’ attitudes and their advertising exposures wereat moderate level. The results of the research testing demonstrated that 1) passengers with demographic characteristic i.e. the gender difference posed only one aspect of different behavior in using the BTSservice which was the traveling hour. For passengers who were different in gender posed no differentbehavior in using the BTS service. There were 2 aspects found which were the frequency of serviceand the purpose of use. Passengers who were different in demographic characteristic i.e. marital status posed only one aspect of different behavior in using the BTS service which was the purpose of service usage. For passengers who were different in marital status posed no differentbehavior in using the BTS service. There were 2 aspects found which were the frequency of serviceand the purpose of use. Passengers who were different in education level posed only one aspectof different behavior in using the BTS service which was the traveling period. Passengers who weredifferent in demographic characteristics i.e. age occupation and average monthly incomeposed different three aspect of different behavior in using the BTS service that included the frequencyof service the traveling period and the purpose of use 2) passengers with different in demographiccharacteristic i.e. gender difference posed different attitude toward the BTS in-trained advertisingmedia. Female passengers had overall attitude on understanding and sentiment higher than male.Passengers with differences in demographic characteristics i.e. age status education level occupationand average monthly income had no different attitude towards the BTS in-trained advertising media3) passengers with difference in demographic characteristics i.e. gender difference had differentexposure towards the BTS in-trained advertising media. Female passengers were more exposedto all 4 aspects of the BTS in-trained advertising media than male passengers. While passengers withdifferences in demographic characteristics i.e. age status education level occupation and averagemonthly income were overall no differences in terms of their BTS in-trained advertising mediaexposure; and 4) passengers’ attitudes toward the BTS in-trained advertising media were overallcorrelated with the BTS passengers which was relatively high.

This research aims to study media exposure and knowledge seeking behavior of mass communication students in Bangkok included problem and obstruction in knowledge seeking. Methodology for the research was mixed method between the qualitative research and quantitative research by used depth interviews with 12 samples and survey research with 420 samples. The results can be concluded as follow: 1. Mass Communication students in Bangkok were social media exposed mostly for follow the news current situation and had conversation about news current situation mostly with friend. But they were trust mostly the information from television. Media exposure on Monday to Friday found that social media exposure was the mostly next were person media and website. On Saturday to Sunday found that social media exposure was the mostly next were television and movie. The least media exposure in everyday was newspaper. 2. Mass Communication students in Bangkok were knowledge seek from various media in the moderate level. They were seek from social media mostly next were electronics and website. How to knowledge seek by study were used tutorials mostly next were online activities and group activities. Problems and obstruction in knowledge seeking were key words data blocking data distortion data analysis and internet signal.

This is to study the audience demographic have a relationship with audience behavior in watching of Insight the Parliament of people in Bangkok Compare the audience behavior have an effect and satisfaction and uses and gratification on insight of parliament and to study the audience’s opinion and satisfaction has a relationship with audience’s understanding and benefits on Insight the Parliament by using survey research. The sample was 20 years old and over from targeted 400 people who are in Bangkok and ever watched this TV program. The research instruments were questionnaires and collected data was analyzed by SPSS. The statistics used for data analysiswere frequency percentage average and standard deviation. The statistics used to test the hypothesis was t - test. And statistical analysis of the difference between averages was One - way ANOVA.

The objectives of this research were 1) to study attitude and advertising media exposure of the BTS passengers; 2) to compare the relationship between the BTS passengers’ demographic characteristics and their service behaviors; 3) to compare the differences of the BTS passengers’ demographic characteristics towards their advertising media exposure; and 4) to study the relationship of the passengers’ attitudes on the BTS in-trained advertisement with the BTS passengers’ advertising media exposure. The researcher randomly selected 400 participants through the Cluster sampling method by using the questionnaire as a data collection tool. The analytical statistics included standard deviation mean average and frequency distribution. The hypothesis testing included Chi-square T-Test F-Test (ANOVA) values testing and Pearson Prodcut Moment correlation coefficient.