diff --git a/batches/answers/3E22YV8GG1HFFS9IL1M56Y6CLJRPNL_3X65QVEQI1Y9JNUNULPMXQZ5SBTCLG.json b/batches/answers/3E22YV8GG1HFFS9IL1M56Y6CLJRPNL_3X65QVEQI1Y9JNUNULPMXQZ5SBTCLG.json
new file mode 100644
index 0000000..9127566
--- /dev/null
+++ b/batches/answers/3E22YV8GG1HFFS9IL1M56Y6CLJRPNL_3X65QVEQI1Y9JNUNULPMXQZ5SBTCLG.json
@@ -0,0 +1,17 @@
+{
+ "AssignmentId": "3X65QVEQI1Y9JNUNULPMXQZ5SBTCLG",
+ "WorkerId": "A3T7Y10HHQ1VLL",
+ "HITId": "3E22YV8GG1HFFS9IL1M56Y6CLJRPNL",
+ "AssignmentStatus": "Submitted",
+ "AutoApprovalTime": "2021-09-17 18:43:14+01:00",
+ "AcceptTime": "2021-09-17 14:24:20+01:00",
+ "SubmitTime": "2021-09-17 14:43:14+01:00",
+ "Answer": "q0MTurk is one of the main trustable source so mainly people choose MTurk over others. And the amount of work is not at all stressable and also we got good amount of money for the work we done. q1No I not at all felt the MTurk work bored . It is quite interesting to work and also it is one of the great platform to work on various topics and to gain knowledge from the different sources.q2Yes Batch HITS are more important because we are able to make more number of money on batch HIT's . For an example If the requester uploaded a batch HIT of 100 HIT's for one ID . The amount of each HIT is 20 cent . It is quite easy to make 20 dollars in one single work. It is much important to keep eye on batch work. Batch work also helps to increase the number of approved hits which helps to met certain qualification.q3It is important to have certain qualification and also the higher approval rate because certain will be available to the ID which has highest approval rate and also met certain qualification here for an example it is important to have qualifications like adult qualification is equal to one, Poor Worker Quality has not been granted and so on. It is also important to work on all qualification works.q4Yes. Ofcourse I am super proud for my consistent approval rate and for some of the best qualification I have received.",
+ "answers": {
+ "q0": "MTurk is one of the main trustable source so mainly people choose MTurk over others. And the amount of work is not at all stressable and also we got good amount of money for the work we done.",
+ "q1": "No I not at all felt the MTurk work bored . It is quite interesting to work and also it is one of the great platform to work on various topics and to gain knowledge from the different sources.",
+ "q2": "Yes Batch HITS are more important because we are able to make more number of money on batch HIT's . For an example If the requester uploaded a batch HIT of 100 HIT's for one ID . The amount of each HIT is 20 cent . It is quite easy to make 20 dollars in one single work. It is much important to keep eye on batch work. Batch work also helps to increase the number of approved hits which helps to met certain qualification.",
+ "q3": "It is important to have certain qualification and also the higher approval rate because certain will be available to the ID which has highest approval rate and also met certain qualification here for an example it is important to have qualifications like adult qualification is equal to one, Poor Worker Quality has not been granted and so on. It is also important to work on all qualification works.",
+ "q4": "Yes. Ofcourse I am super proud for my consistent approval rate and for some of the best qualification I have received."
+ }
+}
\ No newline at end of file
diff --git a/batches/answers/3EGKVCRQFW37NXCM9YDFSUZU8ZGYBZ_3TMSXRD2X7B57EWOI274P5XUML4W11.json b/batches/answers/3EGKVCRQFW37NXCM9YDFSUZU8ZGYBZ_3TMSXRD2X7B57EWOI274P5XUML4W11.json
new file mode 100644
index 0000000..1225d7c
--- /dev/null
+++ b/batches/answers/3EGKVCRQFW37NXCM9YDFSUZU8ZGYBZ_3TMSXRD2X7B57EWOI274P5XUML4W11.json
@@ -0,0 +1,17 @@
+{
+ "AssignmentId": "3TMSXRD2X7B57EWOI274P5XUML4W11",
+ "WorkerId": "A2ZTWEOHWWDNJ1",
+ "HITId": "3EGKVCRQFW37NXCM9YDFSUZU8ZGYBZ",
+ "AssignmentStatus": "Submitted",
+ "AutoApprovalTime": "2021-09-17 17:22:46+01:00",
+ "AcceptTime": "2021-09-17 13:15:54+01:00",
+ "SubmitTime": "2021-09-17 13:22:46+01:00",
+ "Answer": "q0yes, qual is important and this work have great qual.q1new qual is always feel happy in our workq2for doing the work free is a one of the unique qual, i think.q3yes, this is great platform to serve or help the people in the pandemicq4future work will be like qual for us, we expect new survey you will give.",
+ "answers": {
+ "q0": "yes, qual is important and this work have great qual.",
+ "q1": "new qual is always feel happy in our work",
+ "q2": "for doing the work free is a one of the unique qual, i think.",
+ "q3": "yes, this is great platform to serve or help the people in the pandemic",
+ "q4": "future work will be like qual for us, we expect new survey you will give."
+ }
+}
\ No newline at end of file
diff --git a/batches/answers/3G9UA71JVV5UQWEXAH0WD5YAC5HJ75_39GHHAVOMG20TTT8YL7RYDAPW96J47.json b/batches/answers/3G9UA71JVV5UQWEXAH0WD5YAC5HJ75_39GHHAVOMG20TTT8YL7RYDAPW96J47.json
new file mode 100644
index 0000000..89b4b47
--- /dev/null
+++ b/batches/answers/3G9UA71JVV5UQWEXAH0WD5YAC5HJ75_39GHHAVOMG20TTT8YL7RYDAPW96J47.json
@@ -0,0 +1,17 @@
+{
+ "AssignmentId": "39GHHAVOMG20TTT8YL7RYDAPW96J47",
+ "WorkerId": "A23KAJRDVCVGOE",
+ "HITId": "3G9UA71JVV5UQWEXAH0WD5YAC5HJ75",
+ "AssignmentStatus": "Submitted",
+ "AutoApprovalTime": "2021-09-17 17:47:44+01:00",
+ "AcceptTime": "2021-09-17 13:40:49+01:00",
+ "SubmitTime": "2021-09-17 13:47:44+01:00",
+ "Answer": "q0I feel like that sometimes because some workers use unfair tactics to catch hits, i know there are scripts out there that does this but i don't let it worry me one bit. I make a decent wage here and that is all that matters in the end. q1They dislike when new workers gets added because it means less work for them and more competition in general q2Most requester are very fair and very nice but there are some that just want to straight out scam you. Those i have a lot of dislike for, at least pay us fair and not reject our work for honest mistakes. q3I do not feel like that ever, if they feel like that they should reach out to the requester and explain their feelings or just dont do the hit. q4They should be more involved and look at what is going on behind the scenes like requesters paying so little to workers to do a lot of work, they should also make sure requester pay a decent wage not the old wage they have up on their site of $6 per hour",
+ "answers": {
+ "q0": "I feel like that sometimes because some workers use unfair tactics to catch hits, i know there are scripts out there that does this but i don't let it worry me one bit. I make a decent wage here and that is all that matters in the end.",
+ "q1": "They dislike when new workers gets added because it means less work for them and more competition in general",
+ "q2": "Most requester are very fair and very nice but there are some that just want to straight out scam you. Those i have a lot of dislike for, at least pay us fair and not reject our work for honest mistakes.",
+ "q3": "I do not feel like that ever, if they feel like that they should reach out to the requester and explain their feelings or just dont do the hit.",
+ "q4": "They should be more involved and look at what is going on behind the scenes like requesters paying so little to workers to do a lot of work, they should also make sure requester pay a decent wage not the old wage they have up on their site of $6 per hour"
+ }
+}
\ No newline at end of file
diff --git a/batches/answers/3LEG2HW4UFY7ZTVVLFSG2GPA8IEF2I_3BWI6RSP7HKP10PZMIU749H7I3Z7ET.json b/batches/answers/3LEG2HW4UFY7ZTVVLFSG2GPA8IEF2I_3BWI6RSP7HKP10PZMIU749H7I3Z7ET.json
new file mode 100644
index 0000000..9e9ce15
--- /dev/null
+++ b/batches/answers/3LEG2HW4UFY7ZTVVLFSG2GPA8IEF2I_3BWI6RSP7HKP10PZMIU749H7I3Z7ET.json
@@ -0,0 +1,17 @@
+{
+ "AssignmentId": "3BWI6RSP7HKP10PZMIU749H7I3Z7ET",
+ "WorkerId": "A3E01SOXXDM9HQ",
+ "HITId": "3LEG2HW4UFY7ZTVVLFSG2GPA8IEF2I",
+ "AssignmentStatus": "Submitted",
+ "AutoApprovalTime": "2021-09-17 17:14:38+01:00",
+ "AcceptTime": "2021-09-17 13:04:39+01:00",
+ "SubmitTime": "2021-09-17 13:14:38+01:00",
+ "Answer": "q0
We are pleased to announce that we are adding support for Requester registration from 16 more countries, including Israel, Italy, and Japan, bringing the total to 43q1Search or browse through the Human Intelligence Tasks (HITs) and click on the one that interests you.
Accept and Complete Work. Accept the HIT and follow the instructions. When you're done, submit your work.q2Businesses or people, “Requesters,” submit tasks, called Human Intelligence Tasks (HITs), they need to be completed. These are small jobs, most of which don't require special skills or know-how, such as surveys, data entry, and audio transcriptionsq3Workers, colloquially known as Turker or crowd workers, browse among existing jobs and complete them in exchange for a rate set by the employer. To place jobs, the requesting programs use an open application programming interface (API), or the more limited M Turk Requester site.q4
These include tasks such as identifying objects in a photo or video, performing data de-duplication, transcribing audio recordings or researching data details",
+ "answers": {
+ "q0": "We are pleased to announce that we are adding support for Requester registration from 16 more countries, including Israel, Italy, and Japan, bringing the total to 43",
+ "q1": "Search or browse through the Human Intelligence Tasks (HITs) and click on the one that interests you.\rAccept and Complete Work. Accept the HIT and follow the instructions. When you're done, submit your work.",
+ "q2": "Businesses or people, \u201cRequesters,\u201d submit tasks, called Human Intelligence Tasks (HITs), they need to be completed. These are small jobs, most of which don't require special skills or know-how, such as surveys, data entry, and audio transcriptions",
+ "q3": "Workers, colloquially known as Turker or crowd workers, browse among existing jobs and complete them in exchange for a rate set by the employer. To place jobs, the requesting programs use an open application programming interface (API), or the more limited M Turk Requester site.",
+ "q4": "These include tasks such as identifying objects in a photo or video, performing data de-duplication, transcribing audio recordings or researching data details"
+ }
+}
\ No newline at end of file
diff --git a/batches/answers/3PKJ68EHDN7RJLK9NQM84IN4Q8DJH7_39DD6S19JQM8LAV55DMQVTA6SWDEZT.json b/batches/answers/3PKJ68EHDN7RJLK9NQM84IN4Q8DJH7_39DD6S19JQM8LAV55DMQVTA6SWDEZT.json
new file mode 100644
index 0000000..a1ade05
--- /dev/null
+++ b/batches/answers/3PKJ68EHDN7RJLK9NQM84IN4Q8DJH7_39DD6S19JQM8LAV55DMQVTA6SWDEZT.json
@@ -0,0 +1,17 @@
+{
+ "AssignmentId": "39DD6S19JQM8LAV55DMQVTA6SWDEZT",
+ "WorkerId": "A2WV4ZZCI7982H",
+ "HITId": "3PKJ68EHDN7RJLK9NQM84IN4Q8DJH7",
+ "AssignmentStatus": "Submitted",
+ "AutoApprovalTime": "2021-09-17 18:41:25+01:00",
+ "AcceptTime": "2021-09-17 14:26:44+01:00",
+ "SubmitTime": "2021-09-17 14:41:25+01:00",
+ "Answer": "q0They may used to discuss online communities like Pinterest, Twitter, Facebook, Reddit etc...q1I am active in online MTurk communities. It make me to work well and good. I am happy to do this work.q2This is easy for me to do my works. I like to work in this survey. It make me to earn more money.q3There is a good connection between the MTurk workers. They all join together and work well.q4They may not known their numbers. The other worker may provide only the twitter account. That's why they use twitter to communicate with other MTurk workers.",
+ "answers": {
+ "q0": "They may used to discuss online communities like Pinterest, Twitter, Facebook, Reddit etc...",
+ "q1": "I am active in online MTurk communities. It make me to work well and good. I am happy to do this work.",
+ "q2": "This is easy for me to do my works. I like to work in this survey. It make me to earn more money.",
+ "q3": "There is a good connection between the MTurk workers. They all join together and work well.",
+ "q4": "They may not known their numbers. The other worker may provide only the twitter account. That's why they use twitter to communicate with other MTurk workers."
+ }
+}
\ No newline at end of file
diff --git a/batches/answers/3PUOXASB57EO4U7U7012FVD6QUQZ9S_3CFVK00FWMWK36LMKUCJBQ7VWPM6LM.json b/batches/answers/3PUOXASB57EO4U7U7012FVD6QUQZ9S_3CFVK00FWMWK36LMKUCJBQ7VWPM6LM.json
new file mode 100644
index 0000000..4cd0a60
--- /dev/null
+++ b/batches/answers/3PUOXASB57EO4U7U7012FVD6QUQZ9S_3CFVK00FWMWK36LMKUCJBQ7VWPM6LM.json
@@ -0,0 +1,18 @@
+{
+ "AssignmentId": "3CFVK00FWMWK36LMKUCJBQ7VWPM6LM",
+ "WorkerId": "A3TKXVJ1VR849J",
+ "HITId": "3PUOXASB57EO4U7U7012FVD6QUQZ9S",
+ "AssignmentStatus": "Approved",
+ "AutoApprovalTime": "2021-09-17 19:27:11+01:00",
+ "AcceptTime": "2021-09-17 15:16:23+01:00",
+ "SubmitTime": "2021-09-17 15:27:11+01:00",
+ "ApprovalTime": "2021-09-17 19:27:24+01:00",
+ "Answer": "q0MTurk enables companies to harness the collective intelligence , skill, and insights from a global workforce to discuss MTurk.q1yes . we are enjoying this amazon MTurk.q2Online MTurk community for people who want to earn money in their spare time, the MTurk web site solves the problem of finding work you can do this work.q3Defining hits.Hits is defined is critical to ensuring you get exactly the information you are seeking .q4I am using twitter i like his twitter.",
+ "answers": {
+ "q0": "MTurk enables companies to harness the collective intelligence , skill, and insights from a global workforce to discuss MTurk.",
+ "q1": "yes . we are enjoying this amazon MTurk.",
+ "q2": "Online MTurk community for people who want to earn money in their spare time, the MTurk web site solves the problem of finding work you can do this work.",
+ "q3": "Defining hits.Hits is defined is critical to ensuring you get exactly the information you are seeking .",
+ "q4": "I am using twitter i like his twitter."
+ }
+}
\ No newline at end of file
diff --git a/batches/answers/3QTFNPMJC6T9TWBO8AK7XW8QVIZNZ5_3AQF3RZ559TY3EBQYJ9LGD2BZTVF6L.json b/batches/answers/3QTFNPMJC6T9TWBO8AK7XW8QVIZNZ5_3AQF3RZ559TY3EBQYJ9LGD2BZTVF6L.json
new file mode 100644
index 0000000..d727e0b
--- /dev/null
+++ b/batches/answers/3QTFNPMJC6T9TWBO8AK7XW8QVIZNZ5_3AQF3RZ559TY3EBQYJ9LGD2BZTVF6L.json
@@ -0,0 +1,17 @@
+{
+ "AssignmentId": "3AQF3RZ559TY3EBQYJ9LGD2BZTVF6L",
+ "WorkerId": "A2YC6PEMIRSOAA",
+ "HITId": "3QTFNPMJC6T9TWBO8AK7XW8QVIZNZ5",
+ "AssignmentStatus": "Submitted",
+ "AutoApprovalTime": "2021-09-17 17:54:53+01:00",
+ "AcceptTime": "2021-09-17 13:46:58+01:00",
+ "SubmitTime": "2021-09-17 13:54:53+01:00",
+ "Answer": "q0I would agree that qualifications are very important. I do not know how you are informed when you get a new qualification or what that exactly means. I feel great when my approval rating goes up!q1I am not sure how to understand my qualifications and how you are made aware that you have been granted a new qualification.q2I would not do the same work for less money and I don't think you should be able to \"buy\" your qualifications like that. Qualifications should be earned for good work.q3mTurk is just one option to earn money during this pandemic. Currently there is a worker shortage and anyone who is willing to work can get a good job at a decent wage. mTurk should be supplemental to that.q4I do think mTurk is the future for many job positions. Employers have found this can work without the expense of brick and mortar buildings. Hopefully wages will go up with these cost savings.",
+ "answers": {
+ "q0": "I would agree that qualifications are very important. I do not know how you are informed when you get a new qualification or what that exactly means. I feel great when my approval rating goes up!",
+ "q1": "I am not sure how to understand my qualifications and how you are made aware that you have been granted a new qualification.",
+ "q2": "I would not do the same work for less money and I don't think you should be able to \"buy\" your qualifications like that. Qualifications should be earned for good work.",
+ "q3": "mTurk is just one option to earn money during this pandemic. Currently there is a worker shortage and anyone who is willing to work can get a good job at a decent wage. mTurk should be supplemental to that.",
+ "q4": "I do think mTurk is the future for many job positions. Employers have found this can work without the expense of brick and mortar buildings. Hopefully wages will go up with these cost savings."
+ }
+}
\ No newline at end of file
diff --git a/batches/answers/3FJ2RVH25ZHYYJ4IITSOSK3Z573297_3UJ1CZ6IZI0BOFGYZKZFV67QQ5E5SA.json b/batches/answers/processed/3FJ2RVH25ZHYYJ4IITSOSK3Z573297_3UJ1CZ6IZI0BOFGYZKZFV67QQ5E5SA.json
similarity index 100%
rename from batches/answers/3FJ2RVH25ZHYYJ4IITSOSK3Z573297_3UJ1CZ6IZI0BOFGYZKZFV67QQ5E5SA.json
rename to batches/answers/processed/3FJ2RVH25ZHYYJ4IITSOSK3Z573297_3UJ1CZ6IZI0BOFGYZKZFV67QQ5E5SA.json
diff --git a/batches/batch21.json b/batches/batch21.json
index 8ab45b2..b142b09 100644
--- a/batches/batch21.json
+++ b/batches/batch21.json
@@ -11,37 +11,38 @@
{
"question": [
-"In a recent survey about working on MTurk, a fellow worker mentioned that they are part of several online communities where they discuss MTurk with other workers.",
- "Please name all online platforms that you know where fellow workers go to discuss MTurk:"
+"In a recent survey about working on MTurk, a fellow worker mentioned that they think a lot of people who do MTurk work do it because they are bored rather than for the hourly wage.",
+ "Please explain what the main motivation besides the hourly wage is for people to do MTurk work and why (or why not):"
],
- "in_response_to": "3WMINLGALCESN43JXU0WOCJTRN8ACD q2"
+ "in_response_to": "34J10VATJG9BNNW0E0T4PFWT8AIIQY q3"
},
{
"question": [
- "Please explain if you are active in any online MTurk communities and why (or why not):"
+ "Please explain if you ever get bored while doing MTurk work and why (or why not):"
],
- "in_response_to": "3I3WADAZ9RFWQNO5S3I6B1XPR4E5OQ q1"
+ "in_response_to": "34J10VATJG9BNNW0E0T4PFWT8AIIQY q3"
},
{
"question": [
- "Please describe what roles there are in the online MTurk community:"
+ "In a recent survey about working on MTurk, a fellow worker mentioned that they think batch HITs are the most important kind of HITs.",
+ "Please explain if you agree that batch HITs are the most important kind of HITs and why (or why not):"
],
- "in_response_to": "3WMINLGALCESN43JXU0WOCJTRN8ACD q2"
+ "in_response_to": "34J10VATJG9BNNW0E0T4PFWT8AIIQY q2"
},
{
"question": [
-
-"Please explain what cooperation between MTurk workers looks like on MTurk:"
+"In a recent survey about working on MTurk, a fellow worker mentioned that they can earn more money when they have the right quals.",
+"Please explain in what way quals define you as an MTurk worker and why (or why not):"
],
- "in_response_to": "3M1CVSFP61GWH5D22C1R8H8BZ9FQAO q3"
+ "in_response_to": "3A4NIXBJ77AMS96E7AJ00M4HIUPML6 q1"
},
{
"question": [
- "In a recent survey about working on MTurk, a fellow worker mentioned that they often use twitter to communicate with other MTurk workers.",
-"Please explain what you think MTurk workers might use twitter for and why (or why not):"
+
+"Please explain if you are proud of the quals you have and why (or why not):"
],
- "in_response_to": "3TOK3KHVJUTBDR2OGWX39LBLKMVO70 q2"
+ "in_response_to": "3A4NIXBJ77AMS96E7AJ00M4HIUPML6 q1"
}
]
}
diff --git a/batches/batch22.json b/batches/batch22.json
new file mode 100644
index 0000000..dfa6569
--- /dev/null
+++ b/batches/batch22.json
@@ -0,0 +1,49 @@
+{
+ "title": "Write 5 short texts about working on MTurk",
+ "summary": "Write 5 short texts where you explain your point of view on each topic.",
+ "instructions": [
+ "Please read each topic carefully and then write a short text where you explain your point of view.",
+ "There is not a minimum number of words required but please write the number of words that you think is fair for 2$."
+ ],
+ "reward": 2,
+ "keywords": "text",
+ "questions": [
+
+ {
+ "question": [
+"In a recent survey about working on MTurk, a fellow worker mentioned that quals are very important to be a succesful MTurk worker.",
+ "Please explain what it feels like to get a new qual:"
+ ],
+ "in_response_to": "3A4NIXBJ77AMS96E7AJ00M4HIUPML6 q1"
+ },
+ {
+ "question": [
+ "Please explain if you feel appreciated when you get a new qual and why (or why not):"
+ ],
+ "in_response_to": "3A4NIXBJ77AMS96E7AJ00M4HIUPML6 q1"
+ },
+ {
+ "question": [
+ "Please explain if you would do the same work for less or no money if it means you can get a new qual faster and why (or why not):"
+ ],
+ "in_response_to": "3A4NIXBJ77AMS96E7AJ00M4HIUPML6 q1"
+
+ },
+ {
+ "question": [
+"In a recent survey about working on MTurk, a fellow worker mentioned that MTurk gave them a much needed opportunity to earn money during the global pandemic.",
+"Please explain if you think platforms like MTurk can solve problems on the labor market that cannot be solved by traditional forms of work and why (or why not):"
+ ],
+ "in_response_to": "legacy_5"
+ },
+ {
+ "question": [
+
+"Please explain if you think that platforms like MTurk are showing us what the future of most work will be like and why (or why not):"
+ ],
+ "in_response_to": "legacy_5"
+ }
+ ]
+}
+
+
diff --git a/batches/batch23.json b/batches/batch23.json
new file mode 100644
index 0000000..f1dc7e9
--- /dev/null
+++ b/batches/batch23.json
@@ -0,0 +1,49 @@
+{
+ "title": "Write 5 short texts about working on MTurk",
+ "summary": "Write 5 short texts where you explain your point of view on each topic.",
+ "instructions": [
+ "Please read each topic carefully and then write a short text where you explain your point of view.",
+ "There is not a minimum number of words required but please write the number of words that you think is fair for 2$."
+ ],
+ "reward": 2,
+ "keywords": "text",
+ "questions": [
+
+ {
+ "question": [
+"In a recent survey about working on MTurk, a fellow worker mentioned that MTurk is a very competetive platform and that they feel resentment from other workers.",
+ "Please explain if you agree that there is resentment between workers and why (or why not):"
+ ],
+ "in_response_to": "3VW6495TLKB6MP2R9SW1OPTK11GYYA"
+ },
+ {
+ "question": [
+ "Please explain if you feel that people who have been on MTurk longer dislike it when there are a lot of new workers and why (or why not):"
+ ],
+ "in_response_to": "3VW6495TLKB6MP2R9SW1OPTK11GYYA"
+ },
+ {
+ "question": [
+ "Please explain if you feel resentment from requesters and why (or why not):"
+ ],
+ "in_response_to": "3VW6495TLKB6MP2R9SW1OPTK11GYYA"
+
+ },
+ {
+ "question": [
+"In a recent survey about working on MTurk, a fellow worker mentioned that they often feel discriminated when working on MTurk.",
+"Please explain if you think workers are being discriminated on MTurk and why (or why not):"
+ ],
+ "in_response_to": "3WMINLGALCESN43JXU0WOCJTRN8ACD q4"
+ },
+ {
+ "question": [
+
+"Please explain what you think Amazon should do about worker discrimination and why (or why not):"
+ ],
+ "in_response_to": "3WMINLGALCESN43JXU0WOCJTRN8ACD q4"
+ }
+ ]
+}
+
+
diff --git a/batches/batch24.json b/batches/batch24.json
new file mode 100644
index 0000000..5d40cf5
--- /dev/null
+++ b/batches/batch24.json
@@ -0,0 +1,50 @@
+{
+ "title": "Write 5 short texts about working on MTurk",
+ "summary": "Write 5 short texts where you explain your point of view on each topic.",
+ "instructions": [
+ "Please read each topic carefully and then write a short text where you explain your point of view.",
+ "There is not a minimum number of words required but please write the number of words that you think is fair for 2$."
+ ],
+ "reward": 2,
+ "keywords": "text",
+ "questions": [
+
+ {
+ "question": [
+"In a recent survey about working on MTurk, a fellow worker mentioned that they use a \"catcher\" when doing MTurk work.",
+ "Please explain what a \"catcher\" is and how it is being used:"
+ ],
+ "in_response_to": "34J10VATJG9BNNW0E0T4PFWT8AIIQY q4"
+ },
+ {
+ "question": [
+ "In a recent survey about working on MTurk, a fellow worker mentioned that they use scripts and extensions to do MTurk work more efficiently.",
+ "Please explain how a worker that uses scripts and extensions has advantages over a worker that does not use these and why (or why not):"
+ ],
+ "in_response_to": "33L7PJKHCH9VQXCFMIB8HVD3S2KT8Q q3"
+ },
+ {
+ "question": [
+ "Please explain if you feel resentment from requesters and why (or why not):"
+ ],
+ "in_response_to": "3VW6495TLKB6MP2R9SW1OPTK11GYYA"
+
+ },
+ {
+ "question": [
+"In a recent survey about working on MTurk, a fellow worker mentioned that they often feel discriminated when working on MTurk.",
+"Please explain if you think workers are being discriminated on MTurk and why (or why not):"
+ ],
+ "in_response_to": "3WMINLGALCESN43JXU0WOCJTRN8ACD q4"
+ },
+ {
+ "question": [
+
+"Please explain what you think Amazon should do about worker discrimination and why (or why not):"
+ ],
+ "in_response_to": "3WMINLGALCESN43JXU0WOCJTRN8ACD q4"
+ }
+ ]
+}
+
+
diff --git a/batches/batch_hits.json b/batches/batch_hits.json
index e5b4f04..cf87b6b 100644
--- a/batches/batch_hits.json
+++ b/batches/batch_hits.json
@@ -76,5 +76,20 @@
],
"batches\\batch19.json": [
"389A2A304OTT0787FQY1BMBSEUN0C3"
+ ],
+ "batches\\batch21.json": [
+ "3E22YV8GG1HFFS9IL1M56Y6CLJRPNL"
+ ],
+ "batches\\batch20.json": [
+ "3LEG2HW4UFY7ZTVVLFSG2GPA8IEF2I",
+ "3PKJ68EHDN7RJLK9NQM84IN4Q8DJH7",
+ "3PUOXASB57EO4U7U7012FVD6QUQZ9S"
+ ],
+ "batches\\batch22.json": [
+ "3EGKVCRQFW37NXCM9YDFSUZU8ZGYBZ",
+ "3QTFNPMJC6T9TWBO8AK7XW8QVIZNZ5"
+ ],
+ "batches\\batch23.json": [
+ "3G9UA71JVV5UQWEXAH0WD5YAC5HJ75"
]
}
\ No newline at end of file
diff --git a/conversation_tree/300x1000.drawio b/conversation_tree/300x1000.drawio
index 61c8704..11a017d 100644
--- a/conversation_tree/300x1000.drawio
+++ b/conversation_tree/300x1000.drawio
@@ -1 +1 @@
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
\ No newline at end of file
diff --git a/conversation_tree/hele_diagram_editMM.pdf b/conversation_tree/hele_diagram_editMM.pdf
index 109f782..d43ba8a 100644
Binary files a/conversation_tree/hele_diagram_editMM.pdf and b/conversation_tree/hele_diagram_editMM.pdf differ
diff --git a/conversation_tree/vragen b/conversation_tree/vragen
index 35394f8..e834886 100644
--- a/conversation_tree/vragen
+++ b/conversation_tree/vragen
@@ -2,11 +2,35 @@
34J10VATJG9BNNW0E0T4PFWT8AIIQY q3 Do you often get bored?
34J10VATJG9BNNW0E0T4PFWT8AIIQY q3 Do you think most people use MTurk as a side hustle?
34J10VATJG9BNNW0E0T4PFWT8AIIQYq2 Do you think batchwork is a new type of work?
-> how do the quals define you as a Mturk worker?
-> are you proud of your quals?
+3A4NIXBJ77AMS96E7AJ00M4HIUPML6 q1 how do the quals define you as a Mturk worker?
+3A4NIXBJ77AMS96E7AJ00M4HIUPML6 q1 are you proud of your quals?
-What does it feel like to get a new qual?
-When you get a new qual do you feel appreciated?
-Will you do the same work for less or no money if it means you can get a qual?
-Do you think MTurk can be an answer to global crises?
-3VW6495TLKB6MP2R9SW1OPTK11GYYA In what way do you feel resentment from other workers?
\ No newline at end of file
+3A4NIXBJ77AMS96E7AJ00M4HIUPML6 q1 What does it feel like to get a new qual?
+3A4NIXBJ77AMS96E7AJ00M4HIUPML6 q1 When you get a new qual do you feel appreciated?
+3A4NIXBJ77AMS96E7AJ00M4HIUPML6 q1 Will you do the same work for less or no money if it means you can get a qual?
+legacy_5 Do you think MTurk can be an answer to global crises?
+future?
+
+
+3VW6495TLKB6MP2R9SW1OPTK11GYYA In what way do you feel resentment from other workers?
+
+
+3XCC1ODXDMMOGMZJ4NND37XKV6XRQ7 q3 requester culture?
+34J10VATJG9BNNW0E0T4PFWT8AIIQY q4 what is a catcher? -> What is HIT catching?
+33L7PJKHCH9VQXCFMIB8HVD3S2KT8Q q3 What advantages do workers have when running scripts? -> who maintain these?
+3UJ1CZ6IZI0BOFGYZKZFV67QQ5E5SA q0 where did you learn to use extensions? common knowledge?
+
+33L7PJKHCH9VQXCFMIB8HVD3S2KT8Q q3 gefragmenteerd werk, sta je ooit "uit"?
+
+3HFNH7HEMIPXRWQ5OCT143JEWE0GQH q3 multiple hits at same time? how?
+
+3WLEIWSYHPSUZ9JV67LITLXBSRI2H4 q3 Do you think Amazon is being secretive?
+
+3CPLWGV3MPAX9PQ5UEVA8S2MNQEN96 q0 Braindead after long hours?
+
+
+
+33L7PJKHCH9VQXCFMIB8HVD3S2KT8Q q2 why "from US" qual? -> 3907X2AHF1GMCQHJPKTN2UZ3ISJP2D q1 The simple answer is
+
+
+33L7PJKHCH9VQXCFMIB8HVD3S2KT8Q q4 -> future of work
\ No newline at end of file