Haturia Nakalia union of Bera upazilla under Pabna district was selected purposively as the study area. Four villages namely Jogonnathpur, Nayanpur, Pachakola and Maldahpara were purposively selected from this union. A list of all the farm families of the selected villages was prepared with the help of Agricultural Extension Officer (AEO) of Bera upazilla and Sub-Assistant Agriculture Officer (SAAO) of Haturia Nakalia union. The total number of farmers in those villages were 806 who constituted the population of this study. Fifteen percent (15%) of the farmers were selected from that village by using proportionate random sampling. Thus, one hundred and twenty one (121) farmers were selected which constituted the sample for this study. However, a reserve list of 17 farmers was also prepared. Farmers in the reserve list were used only when a respondent in the original list was not available. Data were collected by using pre-tested interview schedule during 10 April, 2014 to 11 May, 2014. Analysis was performed using statistical treatments, such as number, frequency count, percentage, range, mean and standard deviation. In order to find out the relationships between selected characteristics of the farmers and their use of mass media, Pearson’s product-moment correlation co-efficient (r) was used. Use of mass media by the farmers was the main focus of the study. Use of mass media score of respondent was computed on the basis of the extent of his/her use of mass media. Four technologies; HYV of rice, IPM, gutee urea, and drum seeder and five mass media; radio, television, newspaper, poster and agricultural fair were selected for this study. For each technology respondents were asked to indicate his extent of use of particular (5) mass media along a five point rating scale: regularly, often, occasionally, rarely and never. A score of 4 was given for regularly, 3 for often, 2 for occasionally, 1 for rarely and 0 for never. The same method was followed for the rest of three technologies. Mass media use score of a respondent was determined by summing the scores obtained by the respondent for 4 technologies. Use of mass media score of respondents could range from 0 to 80, where, 0 indicating no use of mass media, 80 for high use of mass media. Personal and socioeconomic characteristics of the farmers were considered as independent variables. They are age, education, family size, farm size, annual family income, family assets, organizational participation, innovativeness, attitude towards agricultural technology and agricultural knowledge. Age of a respondent was measured in terms of actual years from his/her birth to the time of interview. Education was measured in terms of grades of education completed by an individual from his educational institutions; where, 1 was assigned for successful completion of each year of education from an educational institution and 0.5 was assigned for sign only and 0 was assigned for no education at all. Whereas family size of a respondent was determined in terms of actual number of members in his/her family including himself/herself. On the other hand, annual family income of a respondent was measured on the basis of the total yearly earning from agricultural and non-agriculture sector earned by the respondent himself/herself and other family members. Family asset of the respondents was measured by the market value of respondents’ total assets. Organizational participation of a respondent was measured by computing an organizational participation score according to his/her nature and duration of participation in nine (9) selected different organizations up to the time of interview. Innovativeness of the respondent was measured on the basis of five point rating scale of their adoption of 13 new technologies related to farming. Score was assigned on the basis of earliness in use of a practice by a respondent. Five point scale was used to determine the attitudes towards technology. This variable contained ten statements out of which 6 statements were positive and 4 statements were negative. The respondents were asked to express their opinion in the form of strongly agree, agree, no opinion, disagree and strongly disagree. Scores of 4, 3, 2, 1 and 0 were assigned, respectively in case of strongly agree, agree, no opinion, disagree and strongly disagree for a positive statement. On the other hand, for a negative statement reverse scoring method was followed. Agricultural knowledge of a respondent in the study was measured by score asking him fifteen different questions related to crop varieties, name of seasonal crops, agricultural programs etc. The total assigned score of all the questions was 30.