1. Introduction
The HIV/AIDS epidemic, earlier prevalent in only a few countries and among selected groups of people, has brought serious concerns in the last few decades. The number of HIV positive individuals is increasing significantly all across the globe. According to the UNAIDS Joint United Programme on HIV/AIDS [
1], since the beginning of the epidemic, almost 60 million people have been infected with HIV and 25 million people have died of HIV-related causes. Absence of a curable treatment or an effective vaccine makes the HIV infection deadly and, hence, its spread cannot be ignored. Previously thought of as a western health problem, HIV/AIDS was overlooked by most developing countries as a problem of homosexuals, drug users and westerners who engage in unsafe sexual practices. However, the recent emergence and spread of the HIV virus in several developing countries’ populations has been met with a lot of dismay and denial. Currently, the African continent has the most HIV positive cases, followed by Asia. In the next 10 years, however, Asia is believed to have more HIV cases than that of any other continent [
2].
The role of media in educating individuals on HIV/AIDS issues is uncertain. Media sources such as newspapers, radio and television constantly attempt to increase HIV/AIDS knowledge through advertisements, shows, and movies. Several government programs and AIDS organizations utilize media to convey AIDS information to citizens. However, at the same time, numerous newspaper, radio and television broadcasts increase misconceptions about AIDS by providing inaccurate or exaggerated AIDS information. Therefore, even though media has potential to educate people on HIV issues, the current impact of media on HIV knowledge is indeterminate.
The current paper, therefore, contributes to this discussion by investigating the association between media exposure and HIV related knowledge using the third wave of the demographic health survey. In the same lines as Aggarwal and Rous [
3], this paper uses a two-stage hurdle model to infer the strength of this association. The main findings are that media exposure is positively associated with better knowledge, but the effect is quantitatively small. Also, there are some gender differentials in HIV knowledge with respect to media exposure. Moreover, these differentials are larger once media is interacted with work status.
HIV has spread largely through heterosexual intercourse in most developing countries, including Sub-Saharan Africa, China, India, Thailand, and Cambodia. The epidemic has moved from urban to rural areas and from high-risk populations to low-risk populations. Among heterosexuals, key links to rising levels of HIV/AIDS cases are economic instability and associated poverty, substance use, gender inequality and low levels of literacy (Ghosh [
4]).
In India, the first HIV infection was reported in 1986 in a commercial sex worker in Madras (Kumar, Mudaliar, and Daniels [
5]), and since then the number has increased to over 2 million. When AIDS first emerged in India, it was dismissed as a curse on the unscrupulous people engaging in corrupt behavior. In a predominantly Hindu-society, AIDS was, and in some regions still is, considered the disease of the untouchables and hence, no actions were taken to combat the infection for a long period of time. Ghosh [
4] asserts that even though rural India appeared to have a lower incidence of HIV/AIDS than did the country’s urban area, the rural prevalence rate is likely to be hidden because of the fear associated with AIDS. The high mobility of people between urban and rural areas is likely to increase HIV cases in India in the future.
The extremely large population of India poses a high threat in terms of the rapid spread of HIV infection. In the future, India is estimated to have the most number of HIV infected individuals. Eberstadt [
6] estimates that the cumulative new HIV cases between 2000 and 2025 in India will be 30 million under a mild epidemic, 110 million in an intermediate epidemic and 140 million in a severe epidemic. Apart from the large population density, causes of the growing epidemic in India include stigma associated with infected people, cultural taboos against open discussion about sex, high levels of poverty and malnutrition in the poorest sectors, low literacy rate, lack of dedication and commitment to studying and controlling the disease, limited resources, high migration due to India’s central location with respect to global trading and particularly, deficient communication between health officials, state governments and their communities (Keshavan [
7]).
The two main reasons for the high vulnerability of Indians to the HIV infection include poor knowledge about the disease and misconceived risk perceptions that results in unsafe sexual behavior, such as low use of condoms (de Araujo [
8]). In developing countries, especially in India, which has an extremely low per capita income, most infected individuals cannot afford to pay for the expensive HIV treatment- antiretroviral drugs. Thus, prevention is the key step in controlling the infection in India and hence increasing awareness among individuals is highly important.
As technology becomes more accessible in the developing world, few studies have investigated the degree of media access and propagation in these populations (Jensen and Oster [
9]), many of which suggest there is a role for media in affecting behavior and knowledge about HIV and other important issues (Johnson [
10], Chatterjee [
11], Pallikadavath, Sreedharan, and Stones [
12]). There have also been studies linking media exposure or campaigns to sexual behavior and HIV/AIDS knowledge (Keating, Meekers, and Adewuyi [
13], Bessinger, Katende, and Gupta [
14], Jesmin, Chaudhuri, and Abdullah [
15], and Bertrand and Anhanq [
16]); however, up to our knowledge, the current paper is the first to conduct this investigation for India.
3. Data and Descriptive Statistics
The data source for this paper is the 2005–06 National Family Health Survey (NFHS-3) [
20] released by the Ministry of Health and Family Welfare in New Delhi in 2007. The report offers the first-ever comprehensive picture of the health and well-being of India’s men, women, and children. The dataset is available and obtained through the MEASURE DHS website. NFHS-3, the third in the NFHS series of surveys provides information on population, health and nutrition in India and in each of its 29 states. NFHS-3 interviewed women age 15–49 and men age 15–54. The survey is based on a sample of households, which is representative at the national and state levels. NFHS-3 conducted interviews with almost 199,000 women and men throughout India and also tested more than 100,000 women and men for HIV.
Table 1 provides a description of every variable used in the analysis and
Table 2 and
Table 3 displays important descriptive statistics.
For the first time, the survey measured HIV prevalence at the national level and for selected states (Andhra Pradesh, Karnataka, Maharashtra, Manipur, Tamil Nadu, and Uttar Pradesh). The NFHS-3 survey [
20] found an HIV prevalence rate of 0.28% for the population age 15–49. The important new information about HIV prevalence from NFHS-3 has spurred the Government of India and international agencies to greatly reduce the official estimate of Indians living with HIV from more than 5 million persons to 2.47 million. This change has had a major impact on the global estimate of persons living with HIV. At the same time, the estimate of AIDS cases in India for upcoming decades causes concerns among the government and AIDS organizations.
The Demographic and Health Surveys have been asking questions about HIV/AIDS knowledge, attitudes and behaviors since 1988. Indicators include knowledge of HIV prevention methods, attitudes towards those living with AIDS, beliefs about AIDS transmission and experiences with higher-risk sex, including paid sex. The NFHS is divided into different categories—males, females, household, couples, children and several others based on the people interviewed. This paper analyzes AIDS-related knowledge and behavior of males and females, thus the variables for this paper are selected from the male and female recode files.
Table 1.
Description of variables.
Table 1.
Description of variables.
Variable | Description | Details |
---|
HIV awareness |
EHA | AIDS awareness | = 1 if respondent has ever heard of AIDS; = 0 otherwise |
HIV specific knowledge |
KCU | Knowledge of condoms | = 1 if respondent knows that one can reduce chances of AIDS by using condoms during sex; = 0 otherwise |
KSP | Knowledge of sexual partners | = 1 if respondent knows that one can reduce chances of AIDS by having 1 sex partner with no other partner; = 0 otherwise |
KSF | Knowledge on sharing food | = 1 if respondent knows that one cannot get AIDS by sharing food with infected person; = 0 otherwise |
HLP | Healthy looking person | = 1 if respondent knows that a healthy looking person can have AIDS; = 0 otherwise |
Media variables |
NWP | Frequency of reading newspapers | = 1 if respondent reads newspaper at least once a week; = 0 otherwise |
FLR | Frequency of listening to radio | = 1 if respondent listens to radio at least once a week; = 0 otherwise |
FWT | Frequency of watching television | = 1 if respondent watches television at least once a week; = 0 otherwise |
Other variables |
EDUC | Education level | Four categories: no education, primary, secondary, and higher education |
WEALTH | Wealth index | Five categories (quintiles): poorest, poorer, middle, richer, and richest |
LOC | Type of residence location | Two categories: urban and rural |
MS | Marital status | Three categories: never married, currently married, and formerly married |
AGE | Age in years | Ages between 15 and 54 |
WORK | Current work status | Two categories: currently working or not |
RELIGION | Religion of respondent | Eleven categories: Hindu, Muslim, Christian, Sikh, Buddhist/Neo-Buddhist, Jain, Jewish, Parsi/Zoroastrian, Donyi Polo, Other, and no religion |
STATE | State of residence | 29 States and Territories recorded |
CASTE | Caste or tribe status | Four categories: scheduled caste, scheduled tribe, other backward class, and none of them |
3.2. Knowledge on AIDS
Six variables are used to capture Indian men and women’s knowledge on AIDS-related matters. A detailed description of these variables can been found in
Table 1. The general awareness of AIDS is measured through EHA, knowledge on modes of AIDS transmission and prevention is measured through KCU and KSP, and knowledge on AIDS-related stigma is found through KSF and HLP. All these variables have binary outcomes of 0 and 1, with 0 representing no knowledge and 1 representing accurate knowledge. Based on the means of all these variables in
Table 2, it appears that women’s knowledge about HIV is more limited. While 88.8% of men have heard of AIDS, only 71.7% of women have ever heard of AIDS. Thus, around 30% of Indian women are unaware of AIDS and are more likely to acquire it compared to women who know about the disease, ceteris paribus.
The poor knowledge of AIDS among women reduces their ability to convince men to engage in safe sexual practices. For instance, only 64.2% of the women know that one can reduce chances of acquiring AIDS by using condoms (KCU). Hence, around 35% of the women cannot tell their partners to use condoms because they are unaware of the advantages of condom use. These statistics suggest that a great number of Indians does not completely understand the disease and has various misconceptions about AIDS. For instance, more than 20% of men and women think that sharing food with an infected person can transmit HIV. Thus, AIDS-related stigma is something that most likely still exists in India.
3.3. Control Variables
To account for variation in AIDS-related knowledge and sexual behavior that might be due to differences in location, religion, age, marital status, state of residence, education level, wealth, and work status, this paper uses several control variables. A complete description of these variables is available in
Table 1.
Based on mean values of the control variables in
Table 2, there is a lot of variation among Indian men and women. For example, 14.4% of men and 32% of women do not have even primary education. This is very alarming, especially since AIDS-related knowledge and safe sexual behavior is positively correlated with increasing educational levels. The majority of respondents were currently married: 60.4% of interviewed men were married and 70.7% of interviewed women were married. More women are married as compared to men probably because of the domestic role of women in India. Additionally, 83.5% of men said they were currently working while only 35.2% of women said they were currently working. Thus, it is important to encourage work among women because financial independence will enable women to take control of their sexual lives.
The difference in the location of individuals’ residence is important because of factors such as limited access to media sources such as television and limited availability of condoms in rural areas (Johnson [
10]). On average, 45.6% of women and 51.4% of men live in urban areas. Thus, the majority of women and around half of men live in rural areas. Civilizing the livelihood of rural residents might be an important and essential step in improving sexual behavior and AIDS knowledge in India (Ghosh [
18]).
Table 3 displays mean values of all variables separating the sample by location of residence. It is obvious that individuals living in rural areas have less exposure to media, less HIV knowledge, and less education compared to individuals living in urban areas. Moreover, these differentials are somewhat larger for women. Hence, it becomes important to investigate the effects of media exposure on HIV knowledge for these four subsamples independently.
Table 3.
Mean values by location of residence.
Table 3.
Mean values by location of residence.
Variable | Male | Female |
---|
Urban | Rural | Urban | Rural |
---|
Media variables |
NWP | 0.702 | 0.457 | 0.451 | 0.176 |
FLR | 0.470 | 0.467 | 0.340 | 0.299 |
FWT | 0.858 | 0.495 | 0.841 | 0.483 |
AIDS awareness and specific knowledge |
EHA | 0.958 | 0.813 | 0.862 | 0.582 |
KCU | 0.861 | 0.808 | 0.695 | 0.574 |
KSF | 0.827 | 0.704 | 0.786 | 0.669 |
KSP | 0.897 | 0.853 | 0.794 | 0.717 |
HLP | 0.810 | 0.713 | 0.718 | 0.606 |
Other variables |
AGE | 30.76 | 31.10 | 29.4 | 28.95 |
EDUC_1 (No education) | 0.088 | 0.202 | 0.193 | 0.426 |
EDUC_2 (Primary) | 0.119 | 0.191 | 0.115 | 0.166 |
EDUC_3 (Secondary) | 0.570 | 0.524 | 0.509 | 0.368 |
EDUC_4 (Higher) | 0.221 | 0.081 | 0.182 | 0.038 |
MS_1 (Never married) | 0.424 | 0.339 | 0.280 | 0.217 |
MS_2 (Currently married) | 0.565 | 0.644 | 0.673 | 0.734 |
MS_3 (Formerly married) | 0.004 | 0.009 | 0.045 | 0.047 |
WORK_1 (Not working) | 0.183 | 0.147 | 0.717 | 0.591 |
4. Empirical Model and Methodology
In order to capture the association between media access and HIV knowledge among men and women in India, the empirical strategy adopted in this paper follows that of Aggarwal and Rous [
3]. In the demographic health surveys there are two stages of knowledge questions. In the first stage, respondents are asked if they are aware of AIDS; in the second stage, respondents are asked more specific questions about the disease (see
Table 1). Only the respondents who are aware of AIDS are asked the more specific HIV knowledge questions. Hence, the second stage questions are conditioned on the first stage responses.
This survey design allows for the estimation of a hurdle model, where in the first stage we estimate an awareness equation and in the second stage we estimate a specific knowledge or quality of knowledge equation
2.
The first stage model is given by:
Where P is the probability of event EHA occurring, EHA is the variable of interest that captures if an individual
i has ever heard of AIDS,
M is a variable that captures media exposure, that is, the frequency to which individuals use a particular media source, and
X is a vector of controls that includes: wealth, education, location of residence, work status, age, marital status, State of residence, and religion,
F is the normal cdf, and α, β, and ψ are parameters to be estimated. All of these controls have been widely used in such models. Equation (1) above is estimated three times for each gender as we separate exposure to media into television, radio, and newspapers.
In the second stage we estimate multiple probit regressions similar to Equation (1), where the dependent variable is each specific knowledge question found in
Table 1. This model captures the association between different media sources and specific knowledge about HIV.
In order to capture the association between knowledge quality and media, we estimate an ordered probit model in the second stage where the dependent variable is a count variable in which we add the correct responses to all specific knowledge questions. That is, if the sum is zero, the respondent has no specific knowledge about HIV. If the sum is equal to 4, then the respondent has very good specific knowledge about HIV. Hence, moving from zero to 4 represents an increase in the quality in which respondents have about specific HIV-related knowledge questions. Later in the paper, we divide the sample into four categories: male urban, male rural, female urban, and female rural and estimate separate models for each.
Lastly, we calculate and only report average partial effects of the variables described above, with the exception of interactions. We follow Bartus [
23] procedure to capture the appropriate magnitude of these associations. In what follows, we will report and discuss our results.
5. Results and Discussion
5.1. Newspapers (NWP)
Despite the low literacy rate in India, newspapers have had a significant effect in increasing HIV/AIDS related knowledge based on the 2005–2006 national demographic data results. According to the probit model, an increase use of newspapers improves HIV/AIDS knowledge among both men and women. The role of newspapers in promoting quality knowledge on HIV was limited until the early 2000s based on the previous wave of the NFHS data conducted in 2000. Earlier, newspapers were successful in increasing HIVAIDS stigma among educated individuals, but they did not provide any objective knowledge on modes of prevention and transmission (de Souza [
24]). However, the establishment of several new campaigns and the recent help from the government has altered the function of newspapers in HIV/AIDS education. Thus, the effectiveness of newspapers in educating individuals on HIV has enhanced significantly since the late 1990s and early 2000s due to changing perceptions and removal of customary social barriers.
Among Indian men, newspapers have not only increased HIV/AIDS awareness, but also reduced stigma and improved the quality of HIV/AIDS knowledge. Based on the average partial effect estimations, men who read newspapers at least once a week are 6.6% more likely to hear about AIDS compared to men who read newspapers less than once a week (
Table 4). Also,
Table 4 shows that men who read the newspaper at least once a week are 6.4% more likely to know that condom use is a preventive strategy and 4.7% more likely to know that having few sexual partners reduces their chances of acquiring HIV. Thus, knowledge on modes of HIV transmission and prevention is improving through newspapers. Also, stigma associated with AIDS is now being removed by media sources like newspapers. This is evident from the data, which shows that men who read newspapers are more likely to know that healthy looking people can have AIDS and HIV is not transmitted by sharing food with infected individuals. In summary, men who read newspapers on a regular basis are likely to benefit by receiving accurate AIDS knowledge.
Table 4.
Average partial effects of media variables and interaction effects.
Table 4.
Average partial effects of media variables and interaction effects.
Variable | Male | Female |
---|
Newspaper | Overall (EHA) 0.066 *** | Overall (EHA) 0.088 *** |
KCU | KSP | KSF | HLP | KCU | KSP | KSF | HLP |
NWP | 0.064 *** | 0.047 *** | 0.088 *** | 0.337 *** | 0.085 *** | 0.067 *** | 0.073 *** | 0.062 *** |
ED2*NWP | 0.048 | 0.035 | −0.226 ** | −0.062 | −0.233 * | −0.137 | −0.178 | −0.24 ** |
ED3*NWP | −0.003 | −0.035 | −0.223 ** | −0.069 | −0.193 * | −0.072 | −0.099 | −0.140 |
ED4*NWP | 0.026 | −0.0150 | −0.134 | −0.091 | −0.237 ** | −0.116 | −0.160 | −0.21 * |
WK2*NWP | −0.045 | −0.0002 | −0.050 | −0.015 | 0.127 *** | 0.074 *** | 0.094 *** | 0.082 *** |
Radio | Overall (EHA) 0.0377 *** | Overall (EHA) 0.0692 *** |
KCU | KSP | KSF | HLP | KCU | KSP | KSF | HLP |
FLR | 0.035 *** | 0.027 *** | 0.047 *** | 0.032 *** | 0.051 *** | 0.046 *** | 0.036 *** | 0.027 *** |
ED2*FLR | 0.010 | −0.023 | 0.012 | 0.027 | −0.013 | −0.007 | −0.028 | −0.087 ** |
ED3*FLR | −0.027 | −0.048 | 0.026 | 0.002 | −0.019 | 0.006 | 0.022 | −0.055 ** |
ED4*FLR | −0.13 *** | −0.11 ** | −0.024 | −0.068 | −0.021 | 0.019 | 0.104 ** | −0.13 *** |
WK2*FLR | −0.029 | −0.072 ** | 0.050 | −0.009 | 0.055 ** | 0.005 | 0.007 | 0.039 * |
Television | Overall (EHA) 0.0541 *** | Overall (EHA) 0.1227 *** |
KCU | KSP | KSF | HLP | KCU | KSP | KSF | HLP |
FWT | 0.040 *** | 0.029 *** | 0.056 *** | 0.049 *** | 0.075 *** | 0.047 *** | 0.069 *** | 0.036 *** |
ED2*FWT | −0.041 | 0.005 | 0.074 * | −0.029 | −0.003 | 0.010 | −0.011 | −0.041 |
ED3*FWT | −0.036 | 0.024 | 0.101 *** | 0.013 | 0.072 ** | 0.082 *** | 0.115 *** | 0.081 *** |
ED4*FWT | −0.050 | −0.008 | 0.149 ** | 0.031 | −0.103 * | −0.022 | 0.039 | −0.083 |
WK2*FWT | 0.066 | −0.017 | 0.077 * | 0.029 | 0.072 *** | −0.011 | 0.050 ** | −0.0005 |
As for women, the effectiveness of newspapers in increasing HIV/AIDS awareness is higher compared to that of men. Women who read newspapers at least once a week are 8.8% more likely to hear of AIDS. Also, the increase in knowledge on modes of transmission and prevention from reading newspapers is higher among women. The higher numbers could be due to the recent focus of campaigns and media sources on Indian women as victims of the AIDS epidemic. Tragic stories of India women getting AIDS from their disloyal husbands and fighting the infection with no support from families have increased women’s interest in learning about the disease and preventing themselves. However, newspaper’s role in removing misconceptions about AIDS has been limited among women. Only, 6.2% of the women who read newspapers at least once a week are likely to know that a healthy looking person can have AIDS. Thus, steps need to be taken to reduce HIV/AIDS stigma among Indian women, especially those living in rural areas. The conservative attitude of rural women has lead to the minimal impact of contemporary newspapers in removing current misconceptions about AIDS.
The effect of newspapers varies greatly across different states based on regional newspaper broadcasts, state government’s responses and literacy rate. The effect of newspapers is minimal not only because of its barely recent improvement in providing accurate and objective knowledge, but also because it targets only a small group of individuals, specifically those who know how to read and have access to newspapers. Hence, later in the paper we analyze the effect that different educational levels have in influencing the average partial effects of newspaper (and other media sources) on HIV knowledge.
5.2. Radio (FLR)
For majority of India, where access to television is absent in most rural areas and where a significant proportion of individuals are illiterate, radio is the optimal media source to disseminate knowledge to the entire populace. The easy access to radio among all individuals, especially among those who belong to high-risk groups such as truck drivers and prostitutes, provides an opportunity to educate the whole country on HIV/AIDS issues and reduce HIV incidences in India. However, the effect of radio in increasing HIV/AIDS knowledge is less than that of newspapers (
Table 4). The information broadcasted on radio channels has positive effects in increasing knowledge and reducing AIDS stigma among both men and women, but the effect is nominal. The nominal effect of radio is due to its low popularity in urban areas, where most individuals resort to watching television. However, radio broadcasting has the potential to educate the rural people, the illiterate and others who are at risk of acquiring HIV virus on sexual matters and HIV/AIDS issues; thus, bringing forth positive changes in the behavior of rural men and women. The positive effect of radio on rural people is due to the absence of any other association with the external world in these regions. Thus, rural people attentively listen to radios as a source of entertainment and as a source of outside information.
The effect of radio, displayed in
Table 4, shows in increasing HIV awareness and knowledge among men is less than that of women. For instance, women who listen to radio at least once a week are 6.9% more likely to have heard of AIDS where as men who listen to radio at least once a week are only 3.7% more likely to have heard of AIDS. Similarly, women listening to radios are 4.6% more likely to know that having few sex partners reduces ones chances of acquiring HIV infection, but this number is merely 2.7% for men. Thus, current radio HIV campaigns have been unsuccessful in targeting men, who are usually the decision-makers in sexual relationships. However, the role of radio in dismantling HIV-related stigma is lower for women. Only 2.7% of women radio listeners are likely to know that a healthy looking person can have AIDS, while the number is 3.2% for men. This is similar to the effect of newspapers in reducing HIV stigma in India. It is much more difficult to change previously held misconceptions about AIDS among women than among men. Also, 3.6% of the women who regularly listen to radios are likely to know that sharing food with an infected person does not transmit AIDS, while the number is 4.7% for men. These numbers are extremely low for both men and women. Hence, it is essential to continue modifying HIV/AIDS knowledge dissemination programs broadcasted on radios, so that it reaches more people and improves HIV/AIDS knowledge, especially among rural and poor individuals because of limited access to television and newspapers among these groups.
Indian people’s cultures and traditions vary widely across the nation. More than 50 different languages and dialects are spoken in the country. Language barriers across different states and regions hinder the ability of radio programs in reaching individuals with different backgrounds and experiences. Thus, the success of radio campaigns depends on each state’s individual response based on its specific HIV-related issue, brought forth in the language of its individuals. In the recent decade, the number of households with cars has increased considerably and since radios are mostly accessed during traveling, there is strong hope that radio shows will be useful in increasing HIV/AIDS knowledge among all Indians. Therefore, state governments and AIDS campaigns need to redirect radio programming and change its course in order to increase radio’s effectiveness in increasing AIDS knowledge.
5.3. Television (FWT)
In the last few decades, increased modernization and globalization in India has acquainted Indians with the western culture and wrecked social barriers that hindered open communication in the past. The portrayal of women on television has shifted from the household goddess to working executive leaders. The talks and acts of sex are still limited on Indian television programs, but easy access to western shows has increased awareness about sex, condoms, STDs and AIDS among urban men and women. The influence of television on Indian people is evident from the emulations of dresses worn by actors among the general population and interactions between people that mostly revolves around top television shows and movies. Thus, the spread of television in India has changed the whereabouts of the country with respect to gender roles, communication, education, community preference, and all other aspects that affects an individual’s life. The probit results show that television does have an impact in increasing HIV/AIDS knowledge, but the impact has not been high.
Television has proved to be the best media source in creating general awareness about HIV/AIDS. For instance, in
Table 4 the likelihood of having heard of AIDS is 12.3% higher among women who watch television at least once a week compared to women who watch television less than once a week. For men, the likelihood percentage is 5.4%. The role of television in eliminating HIV/AIDS stigma is still a challenge. Only 3.6% of the women and 4.9% of the men who watched television regularly were likely to know that a healthy looking person could have AIDS. Also, 6.9% of women and 5.6% of men television viewers were likely to know that AIDS cannot be transmitted by sharing food with an infected person. Even though these numbers are much better when compared to radio’s success in reducing HIV stigma, there are low in absolute terms. The need to drastically change HIV/AIDS stigma in India stems from the growing HIV epidemic, predominantly caused due to fear of HIV infection. Television campaigns have been successful in promoting knowledge on condom use among both men and women—women television watchers are 7.5% more likely to know that condom use helps in AIDS prevention. However, knowledge on the fact that few sexual partners reduce the chances of HIV infection is negligibly promoted through television programming. Thus, either AIDS campaigns on television are not providing accurate information on AIDS or other television shows are depicting impressions that lead to opposing knowledge on AIDS. Therefore, if the problem lies in AIDS advertisement and campaigns, they should be modified to provide accurate, complete and objective AIDS-related knowledge directly through true stories and official statistics. However, if the AIDS knowledge concern stems due to other television shows, theses shows can perhaps be censored to avoid AIDS misconception among the general population. Both these measures are essential because of the high influence of television on Indian people.
The minimal impact of television in promoting HIV knowledge in the past is because of several factors, however, the two main reasons are- the extensive censorship of Indian television content and limited access to television, especially in rural areas. The first problem of huge censorship is mostly solved by improved globalization. However, the second problem of limited access to television still exists. Most villagers in India are too poor to afford regular electricity and cable payments. Therefore, it would be in the best interest of the government to provide amenities such as electricity and water for rural Indians, most of who live way below the poverty line, in order to improve the country’s AIDS situation. Television access will improve knowledge not only on AIDS, but also on other STDs, female feticide, changing perceptions of women, importance of education, and other factors that will ultimately lead to India’s growth and success.
5.4. Interaction Effects
It is reasonable to assume that media exposure may exhibit different degrees of association with respect to both educational levels and work status. Hence,
Table 4 also displays interactions effects between these variables and media exposure.
Work status seems to play a more important role for women relative to men. That is, regardless of working status, the degree to which media exposure affects HIV related knowledge in men is the same. Working women, on the other hand, are significantly impacted by media exposure more so than women that do not work. Most interaction coefficients between media exposure and working status for women are positive and significant. This result is interesting and might indicate that working women have more chances to discuss HIV related news with co-workers, which augments both their exposure to media as well as the quality of the information they process. Also, these results indicate that changing social norms in order to empower women to go to work might be an important avenue for public policy to pursue.
Surprisingly, the interaction between educational levels and media exposure via newspapers or radio either display no significant effects or, in some cases, negative effects. This implies that more education acts as a deterrent to media exposure in affecting HIV related knowledge. At first, these results might appear counter intuitive; however, it may just indicate a possible decreasing role of media in propagating HIV related knowledge in more educated individuals. That is, media becomes a less important source of information regarding HIV once individuals are already somewhat knowledgeable about the disease. As long as knowledge about HIV is positively correlated with educational levels (see Appendix), media exposure can only play a limited role (TV being the possible exception), which is not the case for less educated individuals.
5.5. Other Specifications
The Ordered probit regression explains the impact of media sources, such as newspaper, radio and television on the varying quality of AIDS knowledge. Even though the probit results indicate the effect of media on overall AIDS knowledge, the ordered probit results explain the efficiency of media in increasing different levels of AIDS knowledge. The AIDS campaigns and advertisements on television, radio and newspaper are assumed to increase AIDS knowledge only up to a certain level due to limitations and restrictions on what can be depicted and portrayed through media. Thus, the magnitude of the ordered probit results provide an estimation of whether media notably improves the quality of AIDS knowledge, for levels ranging from having heard of AIDS to answering four questions about the infection correctly.
Table 5 displays the marginal effects for each possible outcome. Overall, despite most of the negative effects, newspapers, radios and televisions have a positive and statistically significant impact in improving the quality of AIDS knowledge among Indian inhabitants. The turning point occurs between outcomes 4 and 5, which suggests that comprehensive knowledge is important and that partial knowledge about the disease might be detrimental (relationship is somewhat quadratic).
Table 5.
Average partial effects of media on HIV quality of knowledge.
Table 5.
Average partial effects of media on HIV quality of knowledge.
Outcomes | Males | Females |
---|
Newspaper | Radio | Television | Newspaper | Radio | Television |
---|
Outcome 1 | −0.0163 | −0.0091 | −0.0121 | −0.0269 | −0.0177 | −0.0269 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) |
Outcome 2 | −0.0239 | −0.0126 | −0.0163 | −0.0296 | −0.0181 | −0.0258 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) |
Outcome 3 | −0.0419 | −0.0218 | −0.0274 | −0.0262 | −0.0156 | −0.0202 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) |
Outcome 4 | −0.0368 | −0.0206 | −0.0232 | −0.0050 | −0.0028 | −0.0001 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) |
Outcome 5 | 0.1191 | 0.0642 | 0.0793 | 0.0879 | 0.0544 | 0.0731 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) |
N | 63594 | 63625 | 63629 | 83993 | 84028 | 84034 |
Pseudo-R2 | 0.0948 | 0.0919 | 0.0918 | 0.1034 | 0.1019 | 0.1022 |
It is evident that media has positive and significant effect in improving the quality of AIDS knowledge among Indian men and women, after controlling for education, wealth, location, marital status, work status, state, religion and age. However, the negative coefficient for the role of media in increasing general AIDS awareness but not providing any quality AIDS knowledge might seem fairly peculiar. A possible justification for the negative coefficient is that AIDS portrayal on television shows and ads always provide at least one accurate detail on AIDS and hence it is unlikely that media will increase general AIDS awareness but not provide a single fact about the disease. Thus, the ordered probit analysis provides a deeper understanding of the impact of media on AIDS knowledge and offers some evidence that media might confuse people’s AIDS knowledge levels. Therefore, AIDS organizations and governmental programs should either rethink the use of their resources in media campaigns or modify these campaigns to increase their consistency of information on Indians. These results are somewhat in line with Pallikadavath, Sreedharan, and Stones [
12].
As a final check, we estimate average partial effects of access to media for different segments of our sample.
Table 6 displays the results for males and females living in both urban and rural settings. This gender and location of residence separation is important for two reasons. First, it has been well documented that access to media may be very different depending on location of residence (Chatterjee [
11]). Secondly, gender differences in terms of AIDS education and AIDS knowledge also differ in regards to location of residence (Pallikadavath, Sreedharan, and Stones [
12]). The results in
Table 6 indicate that in all cases, access to media exhibits a positive influence in AIDS related knowledge. Also, whenever there is a substantial difference in effects, the likelihood of better knowledge is larger in rural areas relative to urban.
Table 6.
Media access and HIV knowledge by location of residence.
Table 6.
Media access and HIV knowledge by location of residence.
Variable | Males | Females |
---|
Urban | Rural | Urban | Rural |
---|
Awareness |
Newspapers | 0.0331 * | 0.1011 * | 0.0633 * | 0.1112 * |
(0.0025) | (0.0046) | (0.0033) | (0.0061) |
Radio | 0.0184 * | 0.0537 * | 0.0443 * | 0.0924 * |
(0.0019) | (0.0036) | (0.0028) | (0.0036) |
Television | 0.0241 * | 0.0796 * | 0.0934 * | 0.1406 * |
(0.0028) | (0.0041) | (0.0039) | (0.0039) |
Condom use |
Newspapers | 0.0493 * | 0.0803 * | 0.0786 * | 0.0646 * |
(0.0050) | (0.0056) | (0.0048) | (0.0063) |
Radio | 0.0257 * | 0.0458 * | 0.0440 * | 0.0575 * |
(0.0036) | (0.0046) | (0.0043) | (0.0050) |
Television | 0.0252 * | 0.0501 * | 0.0695 * | 0.0843 * |
(0.0056) | (0.0053) | (0.0067) | (0.0057) |
Number of sexual partners |
Newspapers | 0.0409 * | 0.0602 * | 0.0635 * | 0.0610 * |
(0.0044) | (0.0049) | (0.0043) | (0.0058) |
Radio | 0.0214 * | 0.0332 * | 0.0439 * | 0.0471 * |
(0.0032) | (0.0042) | (0.0037) | (0.0046) |
Television | 0.0340 * | 0.0263 * | 0.0405 * | 0.0501 * |
(0.0052) | (0.0048) | (0.0059) | (0.0053) |
Sharing food |
Newspapers | 0.0744 * | 0.0880 * | 0.0673 * | 0.0657 * |
(0.0055) | (0.0063) | (0.0043) | (0.0060) |
Radio | 0.0432 * | 0.0513 * | 0.0390 * | 0.0361 * |
(0.0039) | (0.0052) | (0.0038) | (0.0048) |
Television | 0.0466 * | 0.0595 * | 0.0506 * | 0.0775 * |
(0.0061) | (0.0059) | (0.0059) | (0.0055) |
Healthy looking person |
Newspapers | 0.0663 * | 0.0835 * | 0.0565 * | 0.0509 * |
(0.0057) | (0.0064) | (0.0048) | (0.0064) |
Radio | 0.0304 * | 0.0378 * | 0.0266 * | 0.0277 * |
(0.0042) | (0.0054) | (0.0043) | (0.0052) |
Television | 0.0410 * | 0.0555 * | 0.0311 * | 0.0376 * |
(0.0064) | (0.0062) | (0.0065) | (0.0059) |
6. Conclusions
The results exemplify the importance of analyzing the effect of media on improving AIDS related knowledge. Media sources such as television are helpful in improving AIDS-related knowledge among Indians. Sources such as radio and newspapers have lower impact in educating individuals on AIDS prevention and transmission modes because of possibly low literacy rates in India. Moreover, the effect of media in removing AIDS-associated stigma is very low. Thus, AIDS stigma still exists, especially in rural areas and among uneducated poor Indians. The low effect of media on improving AIDS-related knowledge is also possibly due to cultural taboos and conservative government actions, both of which obstruct the objective portrayal of AIDS through media. Thus, development of media sources such as television in rural areas and change in the conservative attitude of political leaders could possibly result in easy access to accurate AIDS information among all Indians through television, radio, and newspapers.
Previous studies have investigated the effect of socioeconomic factors on AIDS knowledge and sexual behavior in India. It would be interesting to investigate the association between HIV knowledge and sexual behavior in India controlling for socioeconomic characteristics and media access. This would allow one to assess the direct and indirect role of media on sexual behavior as well as the direct role of HIV knowledge on sexual behavior. We leave both of these questions for a future study. Another useful extension to the results of this paper would be to explore the difference in the effect of knowledge campaigns on educated and uneducated individuals. It is very likely that knowledge campaigns prove to be highly effective among educated people while having no long-term effect on uneducated members of society.
Also, a study on the varying effect of knowledge on urban versus rural people will probably highlight the day-to-day difficulties faced by rural members of society that make it difficult for them to change their risky sexual behavior. Even though we have attempted to shed some light into this issue, more substantial analysis is needed.
The AIDS problem is highly misunderstood in India because of misreported information and corruption in data processing. Therefore, a variety of different studies will more accurately unwrap the AIDS problem in India and provide effective solutions to eradicate the problem.