Small Farmers’ Use of Social Media and Other Channels for Marketing their Agricultural Products

We examined small farmers’ use of and preference for different channels for marketing agricultural products and explored differences by gender, age group, and education level. Farmers markets and social media were preferred channels, with participants under age 55 being more likely than those 55 and over to prefer and use social media and agree that social media would be useful for promoting products and increasing sales. While selling via social media could provide a larger market, one challenge is that the average age of Mississippi farm operators is 59. Therefore, Extension must consider multiple approaches for delivering training on marketing.

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Impact of social media on children´s relationship with brands

SHS Web of Conferences ◽

10.1051/shsconf/202111501003 ◽

2021 ◽

Vol 115 ◽

pp. 01003

Author(s):

Nikoleta Hutmanová ◽

Peter Dorčák

Keyword(s):

Social Media ◽

New Zealand ◽

Qualitative Approach ◽

Brand Awareness ◽

Age Group ◽

Media Usage ◽

The Social ◽

Use Of Social Media ◽

The Impact ◽

Depth Interviews

The paper focuses on how social media usage by children determines their interactions with consumer brands. First it describes how and when young children develop brand awareness and which are the most important predictors of this development. Those findings are then put in connection with the impact of social media. We elaborate on a deeper level how children approach online communications with brands in the social media context. Our assumptions are supported by a research conducted on a group of New Zealand children, both boys and girls in the age group of 11-14 years. This qualitative approach was implemented using in-depth interviews and identifies three key modes of brand interaction behaviour when young consumers use social media. According to these findings we assume that there is a connection between the use of social media and children´s relationship with consumer brands.

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Young Farmers and Digitalization: From Price Taker to Price Maker

KnE Social Sciences ◽

10.18502/kss.v3i20.4935 ◽

2019 ◽

Cited By ~ 1

Author(s):

Kadhung Prayoga ◽

Subejo . ◽

Alia Bihrajihant Raya

Keyword(s):

Social Media ◽

New Media ◽

Agricultural Sector ◽

Product Information ◽

Qualitative Approach ◽

Agricultural Products ◽

Data Collection Technique ◽

Use Of Social Media ◽

Almost All ◽

Depth Interviews

Information technology has developed rapidly, particularly in the area of social media. Almost all groups in society now use social media in their day to day activities, and one group that has been greatly impacted is young farmers. Before this era, farmers had difficulty accessing information. This study aims to find out what benefits are obtained and obstacles encountered by the use of social media in farming activities by the young farmers. This paper is descriptive explorative by using a qualitative approach. The data collection technique itself uses in-depth interviews, observations, literature studies, and documentation. The research location was in Bulukerto Village, Bumiaji Sub-District, Batu City which was carried out from November to December, 2017. The informants were chosen because they already used new media to support their farming activities. The result is the use of social media in the agricultural sector is widely used by young farmers in order to increase revenue and to seek information. Even so, there are still a number of problems faced by young farmers when utilizing social media, namely those interested in buying and selling online for agricultural products are not as high as other products and about the trust. The advice that can be given is farmers must post photos of products on Instagram with good pictures and caption. They also can tag others to reshare and spread the product information.

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The Booming Social Media and Increasing Perceptual Loneliness: The Scientific Co-Relational Study

International Journal of Indian Psychology ◽

10.25215/0304.148 ◽

2016 ◽

Vol 3 (4) ◽

Author(s):

Dr. Prashant G. Sonawanen ◽

Dr. Karuna S. Wankhade

Keyword(s):

Social Media ◽

Variable Ratio ◽

Age Group ◽

Positive Correlation ◽

Adult Age ◽

Loneliness Scale ◽

The Social ◽

The World ◽

Use Of Social Media ◽

Day By Day

Day by day the world is coming closer and closer, and the communication is becoming super quick than ever, just at the finger tips of a person. And social media played an important role in it, where you can communicate with the group at a time whenever and wherever you wish so. This has done marvelous change in the communication of people and it proved great asset, but at the same time it is creating a sort of virtual and superficial bonds in the relations which are not able to give the feel of connectedness in a true sense. Many of the studies that are done shows that, the social mediums which are opening communication on the broad platform, but at the same time creating the loneliness feeling deep within and which is increasing day by day. So the present study attempts to understand the co-relation between these two issues scientifically. Present study is done with the help of standardized perceptual Loneliness scale by Dr. Praveen Kumar Zha, and a Non-standardized scale for measuring the extent of the use of social media constructed by researcher. Samples are the individuals from adolescent to adult age group, of various professions, who are using the social media in significant and variable ratio. Result of the study concluded that there is positive correlation in both these variables. Implications and suggestions for the study are highlighted. Suggestions for further study are offered.

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Demographics and Personality Discovery on Social Media: A Machine Learning Approach

Information ◽

10.3390/info12090353 ◽

2021 ◽

Vol 12 (9) ◽

pp. 353

Author(s):

Sarach Tuomchomtam ◽

Nuanwan Soonthornphisaj

Keyword(s):

Machine Learning ◽

Social Media ◽

Feature Extraction ◽

Religious Belief ◽

Residential Area ◽

Education Level ◽

Political Affiliation ◽

Age Group ◽

Feature Sets ◽

Extraction Algorithm

This research proposes a new feature extraction algorithm using aggregated user engagements on social media in order to achieve demographics and personality discovery tasks. Our proposed framework can discover seven essential attributes, including gender identity, age group, residential area, education level, political affiliation, religious belief, and personality type. Multiple feature sets are developed, including comment text, community activity, and hybrid features. Various machine learning algorithms are explored, such as support vector machines, random forest, multi-layer perceptron, and naïve Bayes. An empirical analysis is performed on various aspects, including correctness, robustness, training time, and the class imbalance problem. We obtained the highest prediction performance by using our proposed feature extraction algorithm. The result on personality type prediction was 87.18%. For the demographic attribute prediction task, our feature sets also outperformed the baseline at 98.1% for residential area, 94.7% for education level, 92.1% for gender identity, 91.5% for political affiliation, 60.6% for religious belief, and 52.0% for the age group. Moreover, this paper provides the guideline for the choice of classifiers with appropriate feature sets.

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Use of social media in the marketing of agricultural products and farmers’ turnover in South-South Nigeria

F1000Research ◽

10.12688/f1000research.26353.2 ◽

2021 ◽

Vol 9 ◽

pp. 1220

Author(s):

Henry Inegbedion ◽

Emmanuel Inegbedion ◽

Abiola Asaleye ◽

Eseosa Obadiaru ◽

Festus Asamu

Keyword(s):

Social Media ◽

Least Squares Method ◽

Agricultural Products ◽

Agricultural Marketing ◽

Media Usage ◽

Marketing Efficiency ◽

Enhance Efficiency ◽

Questionnaire Research ◽

Use Of Social Media ◽

The Cost

Background: The study investigated the use of social media in the marketing of agricultural products and farmers turnover in South-South Nigeria. The purpose of the study was to determine the extent to which the usage of social media in the marketing of agricultural products in Nigeria can enhance efficiency and farmers’ sales turnover. Methods: It employed the survey research design and data were collected with the help of a structured questionnaire. Research data were analysed using a t-test and least squares method. Results: The use of social media (WhatsApp and Instagram) in the marketing of agricultural products was found to enhance efficiency and turnover of farmers through a significant reduction in the cost of marketing agricultural products as well as increased demand for agricultural products. Conclusions: The use of social media (WhatsApp and Instagram) in the marketing of agricultural products significantly influences cost reduction and hence efficiency in marketing as well as enhances turnover of farmers through increased demand for agricultural products. Contribution: The examination of the implications of the usage of social media usage in agricultural marketing on marketing efficiency and sales turnover in Nigeria

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Use of social media in the marketing of agricultural products and farmers’ turnover in South-South Nigeria

F1000Research ◽

10.12688/f1000research.26353.1 ◽

2020 ◽

Vol 9 ◽

pp. 1220

Author(s):

Henry Inegbedion ◽

Emmanuel Inegbedion ◽

Abiola Asaleye ◽

Eseosa Obadiaru ◽

Festus Asamu

Keyword(s):

Social Media ◽

Least Square Method ◽

Least Square ◽

Agricultural Products ◽

Agricultural Marketing ◽

Agricultural Produce ◽

Enhance Efficiency ◽

Questionnaire Research ◽

Use Of Social Media ◽

The Cost

Background: The study investigated the use of social media in the marketing of agricultural products and farmers turnover in South-South Nigeria. The purpose of the study was to determine the extent to which the usage of social media in the marketing of agricultural products in Nigeria can enhance efficiency and farmers’ sales turnover. Methods: It employed the survey research design and data were collected with the help of a structured questionnaire. Research data were analysed using t-test and least square method. Results: The results showed that the use of social media (Facebook, WhatsApp and Instagram) in the marketing of agricultural products enhances efficiency and turnover of farmers through a significant reduction in the cost of marketing agricultural products as well as increased awareness and the attendant increase in demand for agricultural produce. Conclusions: The use of social media (WhatsApp and Instagram) in the marketing of agricultural products significantly influences cost reduction and hence efficiency in marketing as well as enhances turnover of farmers through increased demand for agricultural products. Thus, the adoption of social media in the marketing of agricultural products enhances the efficiency of agricultural marketing and sales turnover of farmers in south-south of Nigeria but only the use of WhatsApp and Instagram predict efficiency and sales turnover of farmers.

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Can Social Media Participation Enhance LGBTQ+ Youth Well-Being? Development of the Social Media Benefits Scale

Social Media + Society ◽

10.1177/2056305121988931 ◽

2021 ◽

Vol 7 (1) ◽

pp. 205630512198893

Author(s):

Shelley L. Craig ◽

Andrew D. Eaton ◽

Lauren B. McInroy ◽

Vivian W. Y. Leung ◽

Sreedevi Krishnan

Keyword(s):

Social Media ◽

Online Survey ◽

Well Being ◽

Group Differences ◽

Specific Information ◽

Age Group ◽

Lgbtq Youth ◽

Older Youth ◽

And Gender ◽

Use Of Social Media

Social media sites offer critical opportunities for lesbian, gay, bisexual, trans, queer, and other sexual and/or gender minority (LGBTQ+) youth to enhance well-being through exploring their identities, accessing resources, and connecting with peers. Yet extant measures of youth social media use disproportionately focus on the detrimental impacts of online participation, such as overuse and cyberbullying. This study developed a Social Media Benefits Scale (SMBS) through an online survey with a diverse sample ( n = 6,178) of LGBTQ+ youth aged 14–29. Over three-quarters of the sample endorsed non-monosexual and/or and gender fluid identities (e.g., gender non-conforming, non-binary, pansexual, bisexual). Participants specified their five most used social media sites and then indicated whether they derived any of 17 beneficial items (e.g., feeling connected, gaining information) with the potential to enhance well-being from each site. An exploratory factor analysis determined the scale’s factor structure. Analysis of variance (ANOVA) and Sheffe post hoc tests examined age group differences. A four-factor solution emerged that measures participants’ use of social media for: (1) emotional support and development, (2) general educational purposes, (3) entertainment, and (4) acquiring LGBTQ+-specific information. Bartlett’s test of sphericity was significant (χ2 = 40,828, p < .0005) and the scale had an alpha of .889. There were age group differences for all four factors ( F = 3.79–75.88, p < .05). Younger adolescents were generally more likely to use social media for beneficial factors than older youth. This article discusses the scale’s development, exploratory properties, and implications for research and professional practice.

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